| Resume,summary_text | |
| "Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details | |
| Data Science Assurance Associate | |
| Data Science Assurance Associate - Ernst & Young LLP | |
| Skill Details | |
| JAVASCRIPT- Exprience - 24 months | |
| jQuery- Exprience - 24 months | |
| Python- Exprience - 24 monthsCompany Details | |
| company - Ernst & Young LLP | |
| description - Fraud Investigations and Dispute Services Assurance | |
| TECHNOLOGY ASSISTED REVIEW | |
| TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports. | |
| * Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review. | |
| * Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool. | |
| * TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues. | |
| Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting. | |
| MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS) | |
| TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories. | |
| * Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud. | |
| * Created customized tableau dashboards for effective reporting and visualizations. | |
| CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on. | |
| * This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer. | |
| * This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions. | |
| Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer | |
| INFORMATION GOVERNANCE | |
| Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk. | |
| * Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana. | |
| * Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial. | |
| * Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks. | |
| Tools & Technologies: Python, Flask, Elastic Search, Kibana | |
| FRAUD ANALYTIC PLATFORM | |
| Fraud Analytics and investigative platform to review all red flag cases. | |
| • FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems. | |
| * It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics | |
| Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js","The individual has 24 months of experience in JavaScript, jQuery, and Python. They possess skills in various programming languages, machine learning techniques, and database visualization tools. Their experience includes working on projects such as developing an automated review platform for E-discovery, conducting sentiment analysis and time series analysis on customer feedback data, creating a chatbot for product-related queries, and implementing information governance solutions. They have used a range of tools and technologies including scikit-learn, Tableau, NLTK, ElasticSearch, and Flask. Additionally, they have expertise in fraud analytics and investigative platforms. Their profile demonstrates a strong background in data science and analytics." | |
| "Education Details | |
| May 2013 to May 2017 B.E UIT-RGPV | |
| Data Scientist | |
| Data Scientist - Matelabs | |
| Skill Details | |
| Python- Exprience - Less than 1 year months | |
| Statsmodels- Exprience - 12 months | |
| AWS- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Sklearn- Exprience - Less than 1 year months | |
| Scipy- Exprience - Less than 1 year months | |
| Keras- Exprience - Less than 1 year monthsCompany Details | |
| company - Matelabs | |
| description - ML Platform for business professionals, dummies and enthusiasts. | |
| 60/A Koramangala 5th block, | |
| Achievements/Tasks behind sukh sagar, Bengaluru, | |
| India Developed and deployed auto preprocessing steps of machine learning mainly missing value | |
| treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction. | |
| Deployed automated classification and regression model. | |
| linkedin.com/in/aditya-rathore- | |
| b4600b146 Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and | |
| Prophet. | |
| Worked on meta-feature extracting problem. | |
| github.com/rathorology | |
| Implemented a state of the art research paper on outlier detection for mixed attributes. | |
| company - Matelabs | |
| description - ","The individual holds a Bachelor's degree in Engineering from UIT-RGPV (May 2013 to May 2017). They have worked as a Data Scientist at Matelabs, specializing in Python, Statsmodels, AWS, machine learning, Sklearn, Scipy, and Keras, with less than 1 year of experience in each. Matelabs is an ML platform for business professionals, dummies, and enthusiasts located in Bengaluru, India. The individual's achievements include developing and deploying automated preprocessing steps for machine learning, such as missing value treatment, outlier detection, encoding, scaling, feature selection, and dimensionality reduction. They have also worked on time series forecasting models and meta-feature extraction, and implemented a research paper on outlier detection for mixed attributes." | |
| "Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details | |
| January 2019 B.Tech. Electrical and Electronics Engineering Manipal Institute of Technology | |
| January 2015 DEEKSHA CENTER | |
| January 2013 Little Flower Public School | |
| August 2000 Manipal Academy of Higher | |
| DATA SCIENCE | |
| DATA SCIENCE AND ELECTRICAL ENTHUSIAST | |
| Skill Details | |
| Data Analysis- Exprience - Less than 1 year months | |
| excel- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| mathematics- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year months | |
| Electrical Engineering- Exprience - Less than 1 year months | |
| Sql- Exprience - Less than 1 year monthsCompany Details | |
| company - THEMATHCOMPANY | |
| description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business.","The individual's areas of interest include Deep Learning, Control System Design, Programming in Python, Electric Machinery, Web Development, and Analytics. They have participated in technical activities at Hindustan Aeronautics Limited in Bangalore, gaining experience in the hangar of Mirage 2000 fighter aircraft. Their technical skills include programming in Matlab, Python, and Java, as well as using tools like LabView, Django, Flask, LTSPICE, and GitHub. They have knowledge of various operating systems such as Windows, Ubuntu, and Debian-Kali Linux. In terms of education, they hold a B.Tech. degree in Electrical and Electronics Engineering from Manipal Institute of Technology. They have less than 1 year of experience in Data Analysis, Excel, Machine Learning, Mathematics, Python, Matlab, Electrical Engineering, and SQL. Currently, they are working at THEMATHCOMPANY, assisting a casino operator in Macau with customer segmentation and target marketing strategies based on customer value." | |
| "Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details | |
| January 2017 to January 2018 PGDM Business Analytics Great Lakes Institute of Management & Illinois Institute of Technology | |
| January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University | |
| Data Science Consultant | |
| Consultant - Deloitte USI | |
| Skill Details | |
| LINEAR PROGRAMMING- Exprience - 6 months | |
| RETAIL- Exprience - 6 months | |
| RETAIL MARKETING- Exprience - 6 months | |
| SCM- Exprience - 6 months | |
| SQL- Exprience - Less than 1 year months | |
| Deep Learning- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| R- Exprience - Less than 1 year monthsCompany Details | |
| company - Deloitte USI | |
| description - The project involved analysing historic deals and coming with insights to optimize future deals. | |
| Role: Was given raw data, carried out end to end analysis and presented insights to client. | |
| Key Responsibilities: | |
| • Extract data from client systems across geographies. | |
| • Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades. | |
| Technical Environment: R, Tableau. | |
| Industry: Cross Industry | |
| Service Area: Cross Industry - Products | |
| Project Name: Handwriting recognition | |
| Consultant: 3 months. | |
| The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation. | |
| Role: I was developing sentence correction functionality. | |
| Key Responsibilities: | |
| • Gather data large enough to capture all English words | |
| • Train LSTM models on words. | |
| Technical Environment: Python. | |
| Industry: Finance | |
| Service Area: Financial Services - BI development Project Name: SWIFT | |
| Consultant: 8 months. | |
| The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view | |
| financial reports to respective departments. Reporting also included forecasting expenses. | |
| Role: I was leading the offshore team. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop ETL for data flow | |
| • Validate various reports. | |
| Technical Environment: SAP HANA, Tableau, SAP AO. | |
| Industry: Healthcare Analytics | |
| Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System | |
| Consultant: 2 months. | |
| The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities. | |
| Role: I was involved from design to deploy phase, performed a lot of data restructuring and built | |
| models for insights. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop and deploy analytical models. | |
| • Validate various reports. | |
| Technical Environment: Data Modelling, SAP HANA, Tableau, NLP. | |
| Industry: FMCG | |
| Service Area: Trade & Promotion | |
| Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months. | |
| The project involved setting up of CRM and CBP modules. | |
| Role: I was involved in key data decomposition activities and setting up the base for future year | |
| forecast. Over the course of the project I developed various models and carried out key | |
| performance improvements. | |
| Key Responsibilities: | |
| • Design & Develop HANA models for decomposition. | |
| • Develop data flow for forecast. | |
| • Developed various views for reporting of Customer/Sales/Funds. | |
| • Validate various reports in BOBJ. | |
| Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting. | |
| Internal Initiative Industry: FMCG | |
| Customer Segmentation and RFM analysis Consultant; 3 months. | |
| The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets. | |
| Technical Environment: Anaconda3, Python3.6, HANA SPS12 | |
| Industry: Telecom Invoice state detection Consultant; 1 months. | |
| The initiative was to reduce the manual effort in verifying closed and open invoices manually, it | |
| involved development to a decision tree to classify open/closed invoices. This enabled effort | |
| reduction by 60%. | |
| Technical Environment: R, SAP PAL, SAP HANA SPS12 | |
| Accenture Experience | |
| Industry: Analytics - Cross Industry | |
| In Process Analytics for SAP Senior Developer; 19 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients. | |
| Role: I have developed various Finance related KPIs and spearheaded various deployments. | |
| Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports. | |
| Key Responsibilities: | |
| • Involved in information gather phase. | |
| • Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and | |
| Calculation View. | |
| • Developed various KPI's individually using complex SQL scripts in Calculation views. | |
| • Created procedures in HANA Database. | |
| • Took ownership and developed Dashboard functionality. | |
| • Involved in building data processing algorithms to be executed in R server for cluster analysis. | |
| Technical Environment: R, SAP HANA, T-SQL. | |
| Industry: Cross Industry | |
| Accenture Testing Accelerator for SAP Database Developer; 21 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| Role: I have taken care of all development activities for the ATAS tool and have also completed | |
| various deployments of the product. | |
| Apart from these activities I was also actively involved in maintenance of the database servers | |
| (Production & Quality) | |
| Key Responsibilities: | |
| • Analyzing business requirements, understanding the scope, getting requirements clarified | |
| interacting with business and further transform all requirements to generate attribute | |
| mapping documents and reviewing mapping specification documentation | |
| • Create / Update database objects like tables, views, stored procedures, function, and packages | |
| • Monitored SQL Server Error Logs and Application Logs through SQL Server Agent | |
| • Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML | |
| • Responsible for Designing, developing and Normalization of database tables | |
| • Experience in performance tuning using SQL profiler. | |
| • Involved in QA, UAT, knowledge transfer and support activities | |
| Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance | |
| Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL.","The individual possesses skills in R, Python, SAP HANA, Tableau, SAP HANA SQL, SAP HANA PAL, MS SQL, SAP Lumira, C#, Linear Programming, Data Modeling, Advanced Analytics, SCM Analytics, Retail Analytics, Social Media Analytics, and NLP. They hold a PGDM in Business Analytics from Great Lakes Institute of Management & Illinois Institute of Technology and a Bachelor's degree in Electronics and Communication Engineering. They have worked as a Data Science Consultant at Deloitte USI, where they were involved in projects related to deals analysis, handwriting recognition, SWIFT, clinical healthcare systems, consumption-based planning for FMCG, customer segmentation, and telecom invoice state detection. They have experience in technical environments such as R, Python, SAP HANA, Tableau, NLP, and various database and programming languages. Additionally, they have worked on Accenture projects involving SAP analytics, testing accelerators for SAP, and database development." | |
| "Education Details | |
| MCA YMCAUST, Faridabad, Haryana | |
| Data Science internship | |
| Skill Details | |
| Data Structure- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| Data Analysis- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Core Java- Exprience - Less than 1 year months | |
| Database Management- Exprience - Less than 1 year monthsCompany Details | |
| company - Itechpower | |
| description - ","The individual holds an MCA degree from YMCAUST in Faridabad, Haryana. They have completed a Data Science internship. Their skills include Data Structures, C, Data Analysis, Python, Core Java, and Database Management, with less than 1 year of experience in each. They have worked at Itechpower, a company for which no further details are provided." | |
| "SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details | |
| August 2014 to May 2018 B.Tech. Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute | |
| June 2012 to May 2014 Secondary Education Warangal, Telangana SR Junior College | |
| Data Science | |
| Skill Details | |
| MS OFFICE- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| machine learning- Exprience - Less than 1 year months | |
| data science- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year monthsCompany Details | |
| company - | |
| description - ","The individual possesses skills in C Basics, Internet of Things (IoT), Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. They secured the first place in their B.Tech. academic program. Their education includes a B.Tech. degree from Aurora's Scientific and Technological Institute in Ghatkesar, Andhra Pradesh, and secondary education from SR Junior College in Warangal, Telangana. They have less than 1 year of experience in MS Office, C, machine learning, data science, and MATLAB. No specific company details or description are provided." | |
| "Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details | |
| January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering | |
| Data Science Consultant | |
| Data Science Consultant - Datamites | |
| Skill Details | |
| MACHINE LEARNING- Exprience - 13 months | |
| PYTHON- Exprience - 24 months | |
| SOLUTIONS- Exprience - 24 months | |
| DATA SCIENCE- Exprience - 24 months | |
| DATA VISUALIZATION- Exprience - 24 months | |
| Tableau- Exprience - 24 monthsCompany Details | |
| company - Datamites | |
| description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. | |
| • Responsible for loading, extracting and validation of client data. | |
| • Worked on manipulating, cleaning & processing data using python. | |
| • Used Tableau for data visualization. | |
| company - Heretic Solutions Pvt Ltd | |
| description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making. | |
| • Manipulating, cleansing & processing data using Python, Excel and R. | |
| • Analyzed raw data, drawing conclusions & developing recommendations. | |
| • Used machine learning tools and statistical techniques to produce solutions to problems.","The individual possesses skills in Python, Tableau, Data Visualization, R Studio, Machine Learning, and Statistics. They are an IABAC Certified Data Scientist with over 1 year of experience in managing business, data science consulting, and leading innovation projects. They are passionate about bringing business concepts in areas such as machine learning, AI, and robotics to real-life solutions. They hold a B.Tech degree in Computer Science & Engineering from Indo Global College of Engineering. They have worked as a Data Science Consultant at Datamites, where they analyzed and processed complex data sets, performed data loading, extraction, and validation, and used Python and Tableau for data manipulation, cleaning, processing, and visualization. They have also worked at Heretic Solutions Pvt Ltd, where they worked closely with business stakeholders, manipulated and processed data using Python, Excel, and R, analyzed raw data, and utilized machine learning tools and statistical techniques to provide solutions to problems." | |
| "Education Details | |
| B.Tech Rayat and Bahra Institute of Engineering and Biotechnology | |
| Data Science | |
| Data Science | |
| Skill Details | |
| Numpy- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| Tensorflow- Exprience - Less than 1 year months | |
| Scikit- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| GCP- Exprience - Less than 1 year months | |
| Pandas- Exprience - Less than 1 year months | |
| Neural Network- Exprience - Less than 1 year monthsCompany Details | |
| company - Wipro | |
| description - Bhawana Aggarwal | |
| E-Mail:[email protected] | |
| Phone: 09876971076 | |
| VVersatile, high-energy professional targeting challenging assignments in Machine | |
| PROFILE SUMMARY | |
| ▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability. | |
| TECHNICAL SKILLS | |
| Programming Languages Python, C | |
| Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib | |
| Algorithms | |
| KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering, | |
| Tensorflow, SVM | |
| Databases SQL, Oracle | |
| Operating Systems Linux, Window | |
| Development Environments NetBeans, Notebooks, Sublime | |
| Ticketing tools Service Now, Remedy | |
| Education | |
| UG Education: | |
| B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in | |
| 2016. | |
| Schooling: | |
| XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%) | |
| X in 2010 from Valley Public School (Passed with 9.4 CGPA) | |
| WORK EXPERINCE | |
| Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| OTHER PROJECTS | |
| Title : Diabetes Detection | |
| Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third | |
| prize in it. | |
| TRAINING AND CERTIFICATIONS | |
| Title: Python Training, Machine Learning, Data Science, Deep Learning | |
| Organization: Udemy, Coursera (Machine Learning, Deep Learning) | |
| Personal Profile | |
| Father’s Name :Mr. Tirlok Aggarwal | |
| Language Known : English & Hindi | |
| Marital Status :Single | |
| Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F) | |
| company - Wipro | |
| description - Developing programs in Python. | |
| company - Wipro | |
| description - Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| company - Wipro Technologies | |
| description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.","The individual holds a B.Tech degree from Rayat and Bahra Institute of Engineering and Biotechnology and has experience in Data Science. Their skills include Numpy, Machine Learning, Tensorflow, Scikit, Python, GCP, Pandas, and Neural Networks. They have worked at Wipro Technologies as an IT professional, specializing in Machine Learning, Deep Learning, Data Science, Python, and Software Development. They possess knowledge in various algorithms, Python libraries, and programming languages. They have experience with databases like SQL and Oracle and have worked on different operating systems. Their work at Wipro includes projects such as the Neural Intelligence Platform, involving automation and artificial intelligence technologies. They have training and certifications in Python, Machine Learning, Data Science, and Deep Learning." | |
| "Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details | |
| January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology | |
| January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering | |
| January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha | |
| January 2003 M.tech Thesis Detail BMCH School in Ganj basoda | |
| Data science | |
| I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update | |
| Skill Details | |
| Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details | |
| company - RNT.AI Technology Solution | |
| description - Text classification using Machine learning Algorithms with python. | |
| Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN). | |
| Develop custom data models and algorithms to apply to dataset | |
| Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK. | |
| Comfort with SQL,  MYSQL | |
| Sentiment analysis. | |
|  Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms. | |
| Web crawling using Selenium web driver and Beautiful Soup with python. | |
| company - Life Insurance Corporation of India Bhopal | |
| description - ü Explaining policy features and the benefits | |
| ü Updated knowledge of life insurance products and shared with customers","The individual possesses personal skills such as the ability to quickly grasp technical aspects, willingness to learn, high energy levels, and result orientation. They hold a Master of Engineering degree in Computer Technology & Application from Truba Institute of Engineering & Information Technology, a B.E. degree in computer science from RKDF Institute of Science and Technology College of Engineering, and a Polytechnic degree in Information Technology from SATI Engineering College. They also completed an M.Tech thesis at BMCH School. They have six months of experience in Data Science, with skills in Machine Learning, Deep Learning, NLP, Python, SQL, and Web Scraping. They have worked at RNT.AI Technology Solution, where they performed text classification using Machine Learning algorithms and worked with Deep Learning algorithms like Recurrent Neural Networks. They have practical knowledge of Python packages such as Pandas, Scikit-learn, TensorFlow, and NLTK. They are comfortable with SQL and MYSQL and have experience in sentiment analysis and web crawling using Selenium and Beautiful Soup. They have also worked at Life Insurance Corporation of India, where they explained policy features and benefits to customers and maintained updated knowledge of life insurance products." | |
| "Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details | |
| PGP in Data Science Mumbai, Maharashtra Aegis School of data science & Business | |
| B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy | |
| Data Scientist | |
| Data Scientist with PR Canada | |
| Skill Details | |
| Algorithms- Exprience - 6 months | |
| BI- Exprience - 6 months | |
| Business Intelligence- Exprience - 6 months | |
| Machine Learning- Exprience - 24 months | |
| Visualization- Exprience - 24 months | |
| spark- Exprience - 24 months | |
| python- Exprience - 36 months | |
| tableau- Exprience - 36 months | |
| Data Analysis- Exprience - 24 monthsCompany Details | |
| company - Aegis school of Data Science & Business | |
| description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present) | |
| company - Aegis school of Data & Business | |
| description - Data Science Intern, Nov 2015 to Jan 2016 | |
| Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. | |
| ➔ Chat Bot using AWS LEX and Tensor flow Python | |
| The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students. | |
| ➔ Web scraping using Selenium web driver Python | |
| The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it. | |
| ➔ Data Visualization and Data insights Hadoop Eco System, Hive, PySpark, QlikSense | |
| The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports. | |
| ➔ Image Based Fraud Detection Microsoft Face API, PySpark, Open CV | |
| The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself. | |
| ➔ Churn Analysis for Internet Service Provider R, Python, Machine Learning, Hadoop | |
| The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers. | |
| ➔ Sentiment Analysis Python, NLP, Apache Spark service in IBM Bluemix. | |
| This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis. | |
| Quantifiable Results: | |
| − Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics. | |
| − Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai. | |
| − Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques. | |
| − Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society. | |
| company - IBM India pvt ltd | |
| description - Mostly worked on blumix and IBM Watson for Data science.","The individual possesses expertise in Data and Quantitative Analysis, Decision Analytics, Predictive Modeling, Data-Driven Personalization, KPI Dashboards, Big Data Queries and Interpretation, Data Mining and Visualization Tools, Machine Learning Algorithms, Business Intelligence (BI), and Research, Reports, and Forecasts. They hold a PGP in Data Science from Aegis School of Data Science & Business and a B.E. in Electronics & Communication from IES IPS Academy. They are currently working as a Data Scientist with PR in Canada. Their skills include experience in Algorithms, BI, Business Intelligence, Machine Learning, Visualization, Spark, Python, Tableau, and Data Analysis. They have worked at Aegis School of Data Science & Business as an adjunct faculty member, teaching courses in Spark and Machine Learning. They have also interned at Aegis School of Data & Business, where they worked on projects related to chatbot development, web scraping, data visualization, image-based fraud detection, churn analysis, and sentiment analysis. They have mentored Data Science enthusiasts, reviewed research papers, managed live projects, and worked for social causes using Data Science techniques. They have also worked at IBM India Pvt Ltd, focusing on Blumix and IBM Watson for Data Science." | |
| "Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details | |
| Data Science Assurance Associate | |
| Data Science Assurance Associate - Ernst & Young LLP | |
| Skill Details | |
| JAVASCRIPT- Exprience - 24 months | |
| jQuery- Exprience - 24 months | |
| Python- Exprience - 24 monthsCompany Details | |
| company - Ernst & Young LLP | |
| description - Fraud Investigations and Dispute Services Assurance | |
| TECHNOLOGY ASSISTED REVIEW | |
| TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports. | |
| * Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review. | |
| * Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool. | |
| * TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues. | |
| Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting. | |
| MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS) | |
| TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories. | |
| * Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud. | |
| * Created customized tableau dashboards for effective reporting and visualizations. | |
| CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on. | |
| * This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer. | |
| * This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions. | |
| Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer | |
| INFORMATION GOVERNANCE | |
| Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk. | |
| * Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana. | |
| * Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial. | |
| * Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks. | |
| Tools & Technologies: Python, Flask, Elastic Search, Kibana | |
| FRAUD ANALYTIC PLATFORM | |
| Fraud Analytics and investigative platform to review all red flag cases. | |
| • FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems. | |
| * It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics | |
| Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js","The individual possesses skills in programming languages such as Python, SQL, Java, and JavaScript/JQuery. They have experience in machine learning techniques including Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language Processing, Dimensionality reduction, Topic Modeling, PCA, and Neural Nets. They are proficient in database visualizations using tools such as MySQL, SQL Server, Cassandra, HBase, ElasticSearch, D3.js, DC.js, Plotly, Kibana, Matplotlib, ggplot, and Tableau. Their skillset also includes Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, and computer vision using OpenCV with an understanding of Deep Learning. They are currently working as a Data Science Assurance Associate at Ernst & Young LLP, specializing in Fraud Investigations and Dispute Services. They have been involved in projects related to Technology Assisted Review, Text Analytics, Chatbot development, Information Governance, and Fraud Analytic Platform. They have utilized various tools and technologies such as scikit-learn, tfidf, word2vec, doc2vec, Naïve Bayes, LDA, NMF, Vader, text blob, Python, Natural Language Processing libraries (NLTK, spaCy), JavaScript/JQuery, SqlServer, Flask, Elastic Search, Kibana, HTML, CSS, Bootstrap, Node.js, D3.js, and DC.js." | |
| "Education Details | |
| May 2013 to May 2017 B.E UIT-RGPV | |
| Data Scientist | |
| Data Scientist - Matelabs | |
| Skill Details | |
| Python- Exprience - Less than 1 year months | |
| Statsmodels- Exprience - 12 months | |
| AWS- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Sklearn- Exprience - Less than 1 year months | |
| Scipy- Exprience - Less than 1 year months | |
| Keras- Exprience - Less than 1 year monthsCompany Details | |
| company - Matelabs | |
| description - ML Platform for business professionals, dummies and enthusiasts. | |
| 60/A Koramangala 5th block, | |
| Achievements/Tasks behind sukh sagar, Bengaluru, | |
| India Developed and deployed auto preprocessing steps of machine learning mainly missing value | |
| treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction. | |
| Deployed automated classification and regression model. | |
| linkedin.com/in/aditya-rathore- | |
| b4600b146 Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and | |
| Prophet. | |
| Worked on meta-feature extracting problem. | |
| github.com/rathorology | |
| Implemented a state of the art research paper on outlier detection for mixed attributes. | |
| company - Matelabs | |
| description - ","The individual completed their Bachelor of Engineering (B.E.) from UIT-RGPV from May 2013 to May 2017. They are currently working as a Data Scientist at Matelabs, a machine learning platform for business professionals. Their skills include Python, Statsmodels, AWS, machine learning, Sklearn, Scipy, and Keras, with less than 1 year of experience in each. At Matelabs, they have developed and deployed auto preprocessing steps for machine learning, including missing value treatment, outlier detection, encoding, scaling, feature selection, and dimensionality reduction. They have also deployed automated classification and regression models. Additionally, they have worked on time series forecasting models and meta-feature extraction, as well as implemented a research paper on outlier detection for mixed attributes." | |
| "Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details | |
| January 2019 B.Tech. Electrical and Electronics Engineering Manipal Institute of Technology | |
| January 2015 DEEKSHA CENTER | |
| January 2013 Little Flower Public School | |
| August 2000 Manipal Academy of Higher | |
| DATA SCIENCE | |
| DATA SCIENCE AND ELECTRICAL ENTHUSIAST | |
| Skill Details | |
| Data Analysis- Exprience - Less than 1 year months | |
| excel- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| mathematics- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year months | |
| Electrical Engineering- Exprience - Less than 1 year months | |
| Sql- Exprience - Less than 1 year monthsCompany Details | |
| company - THEMATHCOMPANY | |
| description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business.","The individual's areas of interest include Deep Learning, Control System Design, Programming in Python, Electric Machinery, Web Development, and Analytics. They have completed a B.Tech. degree in Electrical and Electronics Engineering from Manipal Institute of Technology in January 2019. They also have experience in Data Analysis, Excel, Machine Learning, Mathematics, Python, Matlab, Electrical Engineering, and SQL, each with less than 1 year of experience. Currently, they are working with a casino-based operator in Macau, assisting in customer segmentation based on customer value and providing a better segmentation system with supporting data for targeted marketing strategies. The name of the company is not disclosed." | |
| "Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details | |
| January 2017 to January 2018 PGDM Business Analytics Great Lakes Institute of Management & Illinois Institute of Technology | |
| January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University | |
| Data Science Consultant | |
| Consultant - Deloitte USI | |
| Skill Details | |
| LINEAR PROGRAMMING- Exprience - 6 months | |
| RETAIL- Exprience - 6 months | |
| RETAIL MARKETING- Exprience - 6 months | |
| SCM- Exprience - 6 months | |
| SQL- Exprience - Less than 1 year months | |
| Deep Learning- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| R- Exprience - Less than 1 year monthsCompany Details | |
| company - Deloitte USI | |
| description - The project involved analysing historic deals and coming with insights to optimize future deals. | |
| Role: Was given raw data, carried out end to end analysis and presented insights to client. | |
| Key Responsibilities: | |
| • Extract data from client systems across geographies. | |
| • Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades. | |
| Technical Environment: R, Tableau. | |
| Industry: Cross Industry | |
| Service Area: Cross Industry - Products | |
| Project Name: Handwriting recognition | |
| Consultant: 3 months. | |
| The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation. | |
| Role: I was developing sentence correction functionality. | |
| Key Responsibilities: | |
| • Gather data large enough to capture all English words | |
| • Train LSTM models on words. | |
| Technical Environment: Python. | |
| Industry: Finance | |
| Service Area: Financial Services - BI development Project Name: SWIFT | |
| Consultant: 8 months. | |
| The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view | |
| financial reports to respective departments. Reporting also included forecasting expenses. | |
| Role: I was leading the offshore team. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop ETL for data flow | |
| • Validate various reports. | |
| Technical Environment: SAP HANA, Tableau, SAP AO. | |
| Industry: Healthcare Analytics | |
| Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System | |
| Consultant: 2 months. | |
| The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities. | |
| Role: I was involved from design to deploy phase, performed a lot of data restructuring and built | |
| models for insights. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop and deploy analytical models. | |
| • Validate various reports. | |
| Technical Environment: Data Modelling, SAP HANA, Tableau, NLP. | |
| Industry: FMCG | |
| Service Area: Trade & Promotion | |
| Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months. | |
| The project involved setting up of CRM and CBP modules. | |
| Role: I was involved in key data decomposition activities and setting up the base for future year | |
| forecast. Over the course of the project I developed various models and carried out key | |
| performance improvements. | |
| Key Responsibilities: | |
| • Design & Develop HANA models for decomposition. | |
| • Develop data flow for forecast. | |
| • Developed various views for reporting of Customer/Sales/Funds. | |
| • Validate various reports in BOBJ. | |
| Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting. | |
| Internal Initiative Industry: FMCG | |
| Customer Segmentation and RFM analysis Consultant; 3 months. | |
| The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets. | |
| Technical Environment: Anaconda3, Python3.6, HANA SPS12 | |
| Industry: Telecom Invoice state detection Consultant; 1 months. | |
| The initiative was to reduce the manual effort in verifying closed and open invoices manually, it | |
| involved development to a decision tree to classify open/closed invoices. This enabled effort | |
| reduction by 60%. | |
| Technical Environment: R, SAP PAL, SAP HANA SPS12 | |
| Accenture Experience | |
| Industry: Analytics - Cross Industry | |
| In Process Analytics for SAP Senior Developer; 19 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients. | |
| Role: I have developed various Finance related KPIs and spearheaded various deployments. | |
| Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports. | |
| Key Responsibilities: | |
| • Involved in information gather phase. | |
| • Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and | |
| Calculation View. | |
| • Developed various KPI's individually using complex SQL scripts in Calculation views. | |
| • Created procedures in HANA Database. | |
| • Took ownership and developed Dashboard functionality. | |
| • Involved in building data processing algorithms to be executed in R server for cluster analysis. | |
| Technical Environment: R, SAP HANA, T-SQL. | |
| Industry: Cross Industry | |
| Accenture Testing Accelerator for SAP Database Developer; 21 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| Role: I have taken care of all development activities for the ATAS tool and have also completed | |
| various deployments of the product. | |
| Apart from these activities I was also actively involved in maintenance of the database servers | |
| (Production & Quality) | |
| Key Responsibilities: | |
| • Analyzing business requirements, understanding the scope, getting requirements clarified | |
| interacting with business and further transform all requirements to generate attribute | |
| mapping documents and reviewing mapping specification documentation | |
| • Create / Update database objects like tables, views, stored procedures, function, and packages | |
| • Monitored SQL Server Error Logs and Application Logs through SQL Server Agent | |
| • Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML | |
| • Responsible for Designing, developing and Normalization of database tables | |
| • Experience in performance tuning using SQL profiler. | |
| • Involved in QA, UAT, knowledge transfer and support activities | |
| Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance | |
| Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL.","The individual possesses skills in various areas, including R, Python, SAP HANA, Tableau, SQL, C#, and more. They have expertise in linear programming, data modeling, advance analytics, and specific domains such as retail analytics, SCM analytics, and social media analytics. They have worked as a Data Science Consultant at Deloitte USI, leading projects in areas such as handwriting recognition, financial services, healthcare analytics, trade and promotion, and customer segmentation. Additionally, they have experience at Accenture, where they developed SAP analytics tools and worked on the Accenture Testing Accelerator for SAP. They have a strong technical background and proficiency in multiple programming languages and tools." | |
| "Education Details | |
| MCA YMCAUST, Faridabad, Haryana | |
| Data Science internship | |
| Skill Details | |
| Data Structure- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| Data Analysis- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Core Java- Exprience - Less than 1 year months | |
| Database Management- Exprience - Less than 1 year monthsCompany Details | |
| company - Itechpower | |
| description - ","The individual has completed an MCA degree at YMCAUST in Faridabad, Haryana. They have also undertaken a data science internship. Their skillset includes experience in data structures, C, data analysis, Python, core Java, and database management. They have worked at Itechpower, although no further information about their role or responsibilities is provided." | |
| "SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details | |
| August 2014 to May 2018 B.Tech. Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute | |
| June 2012 to May 2014 Secondary Education Warangal, Telangana SR Junior College | |
| Data Science | |
| Skill Details | |
| MS OFFICE- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| machine learning- Exprience - Less than 1 year months | |
| data science- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year monthsCompany Details | |
| company - | |
| description - ","The individual possesses skills in C Basics, IoT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. They received recognition for securing the first place in their B.Tech. academic program. They pursued a B.Tech. degree at Aurora's Scientific and Technological Institute in Ghatkesar, Andhra Pradesh from August 2014 to May 2018. Their secondary education took place at SR Junior College in Warangal, Telangana from June 2012 to May 2014. They have experience in MS Office, C, machine learning, data science, and MATLAB. No information about their company details or description is provided." | |
| "Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details | |
| January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering | |
| Data Science Consultant | |
| Data Science Consultant - Datamites | |
| Skill Details | |
| MACHINE LEARNING- Exprience - 13 months | |
| PYTHON- Exprience - 24 months | |
| SOLUTIONS- Exprience - 24 months | |
| DATA SCIENCE- Exprience - 24 months | |
| DATA VISUALIZATION- Exprience - 24 months | |
| Tableau- Exprience - 24 monthsCompany Details | |
| company - Datamites | |
| description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. | |
| • Responsible for loading, extracting and validation of client data. | |
| • Worked on manipulating, cleaning & processing data using python. | |
| • Used Tableau for data visualization. | |
| company - Heretic Solutions Pvt Ltd | |
| description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making. | |
| • Manipulating, cleansing & processing data using Python, Excel and R. | |
| • Analyzed raw data, drawing conclusions & developing recommendations. | |
| • Used machine learning tools and statistical techniques to produce solutions to problems.","The individual possesses skills in Python, Tableau, Data Visualization, R Studio, Machine Learning, and Statistics. They are an IABAC Certified Data Scientist with over 1 year of experience in managing business, data science consulting, and leading innovation projects. They have a B.Tech degree in Computer Science & Engineering from Indo Global College of Engineering in Mohali, Punjab, obtained in January 2017. They have worked as a Data Science Consultant at both Datamites and Heretic Solutions Pvt Ltd. In their role at Datamites, they analyzed and processed complex data sets, loaded and validated client data, manipulated and cleaned data using Python, and utilized Tableau for data visualization. At Heretic Solutions Pvt Ltd, they worked closely with the business to identify issues, manipulated and processed data using Python, Excel, and R, analyzed raw data, and used machine learning tools and statistical techniques to provide solutions." | |
| "Education Details | |
| B.Tech Rayat and Bahra Institute of Engineering and Biotechnology | |
| Data Science | |
| Data Science | |
| Skill Details | |
| Numpy- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| Tensorflow- Exprience - Less than 1 year months | |
| Scikit- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| GCP- Exprience - Less than 1 year months | |
| Pandas- Exprience - Less than 1 year months | |
| Neural Network- Exprience - Less than 1 year monthsCompany Details | |
| company - Wipro | |
| description - Bhawana Aggarwal | |
| E-Mail:[email protected] | |
| Phone: 09876971076 | |
| VVersatile, high-energy professional targeting challenging assignments in Machine | |
| PROFILE SUMMARY | |
| ▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability. | |
| TECHNICAL SKILLS | |
| Programming Languages Python, C | |
| Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib | |
| Algorithms | |
| KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering, | |
| Tensorflow, SVM | |
| Databases SQL, Oracle | |
| Operating Systems Linux, Window | |
| Development Environments NetBeans, Notebooks, Sublime | |
| Ticketing tools Service Now, Remedy | |
| Education | |
| UG Education: | |
| B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in | |
| 2016. | |
| Schooling: | |
| XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%) | |
| X in 2010 from Valley Public School (Passed with 9.4 CGPA) | |
| WORK EXPERINCE | |
| Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| OTHER PROJECTS | |
| Title : Diabetes Detection | |
| Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third | |
| prize in it. | |
| TRAINING AND CERTIFICATIONS | |
| Title: Python Training, Machine Learning, Data Science, Deep Learning | |
| Organization: Udemy, Coursera (Machine Learning, Deep Learning) | |
| Personal Profile | |
| Father’s Name :Mr. Tirlok Aggarwal | |
| Language Known : English & Hindi | |
| Marital Status :Single | |
| Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F) | |
| company - Wipro | |
| description - Developing programs in Python. | |
| company - Wipro | |
| description - Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| company - Wipro Technologies | |
| description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.","The individual has skills in Python, Tableau, Data Visualization, R Studio, Machine Learning, Statistics, and various Microsoft Office tools. They have a B.Tech degree in Computer Science & Engineering from Rayat and Bahra Institute of Engineering and Biotechnology. They have worked as a Data Science Consultant at Datamites and have experience in analyzing and processing complex data sets, data visualization using Tableau, and manipulating data with Python. They also have experience working at Wipro, where they were involved in projects related to Neural Intelligence Platform, automation, natural language processing (NLP), machine learning, and deep learning. They have knowledge and experience in Python libraries such as Numpy, Pandas, Seaborn, and Matplotlib, as well as familiarity with various machine learning algorithms and databases. They have proficiency in operating systems like Linux, Ubuntu, and Windows, and possess problem-solving and communication skills." | |
| "Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details | |
| January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology | |
| January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering | |
| January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha | |
| January 2003 M.tech Thesis Detail BMCH School in Ganj basoda | |
| Data science | |
| I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update | |
| Skill Details | |
| Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details | |
| company - RNT.AI Technology Solution | |
| description - Text classification using Machine learning Algorithms with python. | |
| Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN). | |
| Develop custom data models and algorithms to apply to dataset | |
| Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK. | |
| Comfort with SQL,  MYSQL | |
| Sentiment analysis. | |
|  Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms. | |
| Web crawling using Selenium web driver and Beautiful Soup with python. | |
| company - Life Insurance Corporation of India Bhopal | |
| description - ü Explaining policy features and the benefits | |
| ü Updated knowledge of life insurance products and shared with customers","The individual possesses personal skills such as the ability to quickly grasp technical aspects and a willingness to learn. They have a Master's degree in Engineering in Computer Technology & Application from Truba Institute of Engineering & Information Technology, as well as a Bachelor's degree in Computer Science and a Polytechnic diploma in Information Technology. They have six months of experience in Data Science, with skills in Machine Learning, Deep Learning, NLP, Python, SQL, and Web Scraping. They have worked at RNT.AI Technology Solution, where they have gained practical knowledge in text classification, deep learning algorithms, custom data models, and Python packages such as Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotlib, and NLTK. They also have experience with SQL and MYSQL, sentiment analysis, and applying machine learning algorithms to datasets. Additionally, they have worked at the Life Insurance Corporation of India, where they explained policy features and benefits to customers and maintained updated knowledge of life insurance products." | |
| "Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details | |
| PGP in Data Science Mumbai, Maharashtra Aegis School of data science & Business | |
| B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy | |
| Data Scientist | |
| Data Scientist with PR Canada | |
| Skill Details | |
| Algorithms- Exprience - 6 months | |
| BI- Exprience - 6 months | |
| Business Intelligence- Exprience - 6 months | |
| Machine Learning- Exprience - 24 months | |
| Visualization- Exprience - 24 months | |
| spark- Exprience - 24 months | |
| python- Exprience - 36 months | |
| tableau- Exprience - 36 months | |
| Data Analysis- Exprience - 24 monthsCompany Details | |
| company - Aegis school of Data Science & Business | |
| description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present) | |
| company - Aegis school of Data & Business | |
| description - Data Science Intern, Nov 2015 to Jan 2016 | |
| Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. | |
| ➔ Chat Bot using AWS LEX and Tensor flow Python | |
| The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students. | |
| ➔ Web scraping using Selenium web driver Python | |
| The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it. | |
| ➔ Data Visualization and Data insights Hadoop Eco System, Hive, PySpark, QlikSense | |
| The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports. | |
| ➔ Image Based Fraud Detection Microsoft Face API, PySpark, Open CV | |
| The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself. | |
| ➔ Churn Analysis for Internet Service Provider R, Python, Machine Learning, Hadoop | |
| The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers. | |
| ➔ Sentiment Analysis Python, NLP, Apache Spark service in IBM Bluemix. | |
| This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis. | |
| Quantifiable Results: | |
| − Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics. | |
| − Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai. | |
| − Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques. | |
| − Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society. | |
| company - IBM India pvt ltd | |
| description - Mostly worked on blumix and IBM Watson for Data science.","The individual has expertise in various areas, including Data and Quantitative Analysis, Decision Analytics, Predictive Modeling, Data-Driven Personalization, KPI Dashboards, Big Data Queries and Interpretation, Data Mining and Visualization Tools, Machine Learning Algorithms, and Business Intelligence (BI). They have completed a PGP in Data Science from Aegis School of Data Science & Business and have a B.E. in Electronics & Communication from IES IPS Academy. They currently work as a Data Scientist with PR Canada and have skills in algorithms, BI, machine learning, visualization, spark, python, tableau, and data analysis. They have worked at Aegis School of Data Science & Business and IBM India Pvt Ltd, where they have been involved in various projects, such as chat bot development, web scraping, data visualization, image-based fraud detection, churn analysis, and sentiment analysis. They have also achieved quantifiable results in mentoring, research paper evaluation, project management, and social cause initiatives." | |
| "Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details | |
| Data Science Assurance Associate | |
| Data Science Assurance Associate - Ernst & Young LLP | |
| Skill Details | |
| JAVASCRIPT- Exprience - 24 months | |
| jQuery- Exprience - 24 months | |
| Python- Exprience - 24 monthsCompany Details | |
| company - Ernst & Young LLP | |
| description - Fraud Investigations and Dispute Services Assurance | |
| TECHNOLOGY ASSISTED REVIEW | |
| TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports. | |
| * Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review. | |
| * Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool. | |
| * TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues. | |
| Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting. | |
| MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS) | |
| TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories. | |
| * Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud. | |
| * Created customized tableau dashboards for effective reporting and visualizations. | |
| CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on. | |
| * This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer. | |
| * This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions. | |
| Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer | |
| INFORMATION GOVERNANCE | |
| Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk. | |
| * Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana. | |
| * Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial. | |
| * Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks. | |
| Tools & Technologies: Python, Flask, Elastic Search, Kibana | |
| FRAUD ANALYTIC PLATFORM | |
| Fraud Analytics and investigative platform to review all red flag cases. | |
| • FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems. | |
| * It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics | |
| Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js","The individual possesses skills in various programming languages, including Python, SQL, Java, and JavaScript/JQuery. They have expertise in machine learning techniques such as regression, SVM, Naïve Bayes, KNN, random forest, decision trees, boosting techniques, cluster analysis, word embedding, sentiment analysis, natural language processing, dimensionality reduction, topic modeling, PCA, and neural networks. They are proficient in database visualization tools like MySQL, SQL Server, Cassandra, HBase, ElasticSearch, D3.js, DC.js, Plotly, Kibana, matplotlib, ggplot, and Tableau. Other skills include regular expressions, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, and computer vision with OpenCV and an understanding of deep learning. They have worked as a Data Science Assurance Associate at Ernst & Young LLP, where they contributed to the development of an automated review platform tool for fraud investigations and dispute services. They have also been involved in multiple data science and analytic projects, including text analytics, chatbot development, information governance, and fraud analytic platform. Their tools and technologies range from Python, scikit-learn, tfidf, word2vec, doc2vec, Naïve Bayes, LDA, NMF, Matplotlib, Tableau, natural language processing (NLP), NLTK, spacy, to JavaScript/JQuery, SQL Server, Flask, ElasticSearch, Kibana, HTML, CSS, Bootstrap, Node.js, D3.js, and DC.js." | |
| "Education Details | |
| May 2013 to May 2017 B.E UIT-RGPV | |
| Data Scientist | |
| Data Scientist - Matelabs | |
| Skill Details | |
| Python- Exprience - Less than 1 year months | |
| Statsmodels- Exprience - 12 months | |
| AWS- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Sklearn- Exprience - Less than 1 year months | |
| Scipy- Exprience - Less than 1 year months | |
| Keras- Exprience - Less than 1 year monthsCompany Details | |
| company - Matelabs | |
| description - ML Platform for business professionals, dummies and enthusiasts. | |
| 60/A Koramangala 5th block, | |
| Achievements/Tasks behind sukh sagar, Bengaluru, | |
| India Developed and deployed auto preprocessing steps of machine learning mainly missing value | |
| treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction. | |
| Deployed automated classification and regression model. | |
| linkedin.com/in/aditya-rathore- | |
| b4600b146 Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and | |
| Prophet. | |
| Worked on meta-feature extracting problem. | |
| github.com/rathorology | |
| Implemented a state of the art research paper on outlier detection for mixed attributes. | |
| company - Matelabs | |
| description - ","The individual holds a Bachelor of Engineering (B.E.) degree from UIT-RGPV, completed between May 2013 and May 2017. They currently work as a Data Scientist at Matelabs, a machine learning platform for business professionals and enthusiasts. Their skills include Python, statsmodels, AWS, machine learning, scikit-learn, scipy, and Keras. At Matelabs, they have developed and deployed automated preprocessing steps for machine learning, including missing value treatment, outlier detection, encoding, scaling, feature selection, and dimensionality reduction. They have also worked on deploying classification and regression models, as well as time series forecasting models such as ARIMA, SARIMAX, Holt-Winter, and Prophet. Additionally, they have implemented a research paper on outlier detection for mixed attributes." | |
| "Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details | |
| January 2019 B.Tech. Electrical and Electronics Engineering Manipal Institute of Technology | |
| January 2015 DEEKSHA CENTER | |
| January 2013 Little Flower Public School | |
| August 2000 Manipal Academy of Higher | |
| DATA SCIENCE | |
| DATA SCIENCE AND ELECTRICAL ENTHUSIAST | |
| Skill Details | |
| Data Analysis- Exprience - Less than 1 year months | |
| excel- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| mathematics- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year months | |
| Electrical Engineering- Exprience - Less than 1 year months | |
| Sql- Exprience - Less than 1 year monthsCompany Details | |
| company - THEMATHCOMPANY | |
| description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business.","The individual has a keen interest in areas such as Deep Learning, Control System Design, Programming in Python, Electric Machinery, Web Development, and Analytics. They have engaged in technical activities at Hindustan Aeronautics Limited, Bangalore, where they worked under the guidance of a Senior Engineer on the Mirage 2000 fighter aircraft. Their technical skills include programming languages such as Matlab, Python, and Java, as well as proficiency in tools like LabView, Django, Flask, LTSPICE, and GitHub. They have experience in Data Analysis, Excel, Machine Learning, Mathematics, Python, Matlab, Electrical Engineering, and SQL. Currently, they are working with a casino-based operator in Macau, focusing on customer segmentation based on value and aiming to improve the current system through target marketing strategies." | |
| "Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details | |
| January 2017 to January 2018 PGDM Business Analytics Great Lakes Institute of Management & Illinois Institute of Technology | |
| January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University | |
| Data Science Consultant | |
| Consultant - Deloitte USI | |
| Skill Details | |
| LINEAR PROGRAMMING- Exprience - 6 months | |
| RETAIL- Exprience - 6 months | |
| RETAIL MARKETING- Exprience - 6 months | |
| SCM- Exprience - 6 months | |
| SQL- Exprience - Less than 1 year months | |
| Deep Learning- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| R- Exprience - Less than 1 year monthsCompany Details | |
| company - Deloitte USI | |
| description - The project involved analysing historic deals and coming with insights to optimize future deals. | |
| Role: Was given raw data, carried out end to end analysis and presented insights to client. | |
| Key Responsibilities: | |
| • Extract data from client systems across geographies. | |
| • Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades. | |
| Technical Environment: R, Tableau. | |
| Industry: Cross Industry | |
| Service Area: Cross Industry - Products | |
| Project Name: Handwriting recognition | |
| Consultant: 3 months. | |
| The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation. | |
| Role: I was developing sentence correction functionality. | |
| Key Responsibilities: | |
| • Gather data large enough to capture all English words | |
| • Train LSTM models on words. | |
| Technical Environment: Python. | |
| Industry: Finance | |
| Service Area: Financial Services - BI development Project Name: SWIFT | |
| Consultant: 8 months. | |
| The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view | |
| financial reports to respective departments. Reporting also included forecasting expenses. | |
| Role: I was leading the offshore team. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop ETL for data flow | |
| • Validate various reports. | |
| Technical Environment: SAP HANA, Tableau, SAP AO. | |
| Industry: Healthcare Analytics | |
| Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System | |
| Consultant: 2 months. | |
| The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities. | |
| Role: I was involved from design to deploy phase, performed a lot of data restructuring and built | |
| models for insights. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop and deploy analytical models. | |
| • Validate various reports. | |
| Technical Environment: Data Modelling, SAP HANA, Tableau, NLP. | |
| Industry: FMCG | |
| Service Area: Trade & Promotion | |
| Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months. | |
| The project involved setting up of CRM and CBP modules. | |
| Role: I was involved in key data decomposition activities and setting up the base for future year | |
| forecast. Over the course of the project I developed various models and carried out key | |
| performance improvements. | |
| Key Responsibilities: | |
| • Design & Develop HANA models for decomposition. | |
| • Develop data flow for forecast. | |
| • Developed various views for reporting of Customer/Sales/Funds. | |
| • Validate various reports in BOBJ. | |
| Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting. | |
| Internal Initiative Industry: FMCG | |
| Customer Segmentation and RFM analysis Consultant; 3 months. | |
| The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets. | |
| Technical Environment: Anaconda3, Python3.6, HANA SPS12 | |
| Industry: Telecom Invoice state detection Consultant; 1 months. | |
| The initiative was to reduce the manual effort in verifying closed and open invoices manually, it | |
| involved development to a decision tree to classify open/closed invoices. This enabled effort | |
| reduction by 60%. | |
| Technical Environment: R, SAP PAL, SAP HANA SPS12 | |
| Accenture Experience | |
| Industry: Analytics - Cross Industry | |
| In Process Analytics for SAP Senior Developer; 19 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients. | |
| Role: I have developed various Finance related KPIs and spearheaded various deployments. | |
| Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports. | |
| Key Responsibilities: | |
| • Involved in information gather phase. | |
| • Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and | |
| Calculation View. | |
| • Developed various KPI's individually using complex SQL scripts in Calculation views. | |
| • Created procedures in HANA Database. | |
| • Took ownership and developed Dashboard functionality. | |
| • Involved in building data processing algorithms to be executed in R server for cluster analysis. | |
| Technical Environment: R, SAP HANA, T-SQL. | |
| Industry: Cross Industry | |
| Accenture Testing Accelerator for SAP Database Developer; 21 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| Role: I have taken care of all development activities for the ATAS tool and have also completed | |
| various deployments of the product. | |
| Apart from these activities I was also actively involved in maintenance of the database servers | |
| (Production & Quality) | |
| Key Responsibilities: | |
| • Analyzing business requirements, understanding the scope, getting requirements clarified | |
| interacting with business and further transform all requirements to generate attribute | |
| mapping documents and reviewing mapping specification documentation | |
| • Create / Update database objects like tables, views, stored procedures, function, and packages | |
| • Monitored SQL Server Error Logs and Application Logs through SQL Server Agent | |
| • Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML | |
| • Responsible for Designing, developing and Normalization of database tables | |
| • Experience in performance tuning using SQL profiler. | |
| • Involved in QA, UAT, knowledge transfer and support activities | |
| Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance | |
| Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL.","The individual possesses a diverse range of skills, including R, Python, SAP HANA, Tableau, SQL, C#, Linear Programming, Data Modelling, and Advance Analytics. They have completed a PGDM in Business Analytics and a Bachelor's in Electronics and Communication Engineering. Currently working as a Data Science Consultant at Deloitte USI, they have experience in areas such as retail, supply chain management, deep learning, and machine learning. They have been involved in various projects, including handwriting recognition, financial analytics, healthcare analytics, trade and promotion analysis, customer segmentation, and telecom invoice state detection. They have also worked as a Senior Developer for Accenture on projects related to SAP analytics and database development." | |
| "Education Details | |
| MCA YMCAUST, Faridabad, Haryana | |
| Data Science internship | |
| Skill Details | |
| Data Structure- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| Data Analysis- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Core Java- Exprience - Less than 1 year months | |
| Database Management- Exprience - Less than 1 year monthsCompany Details | |
| company - Itechpower | |
| description - ","The individual holds an MCA degree from YMCAUST in Faridabad, Haryana. They have completed a data science internship and have experience in data structures, C programming, data analysis, Python, core Java, and database management. They have worked with Itechpower as a part of their company details." | |
| "SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details | |
| August 2014 to May 2018 B.Tech. Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute | |
| June 2012 to May 2014 Secondary Education Warangal, Telangana SR Junior College | |
| Data Science | |
| Skill Details | |
| MS OFFICE- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| machine learning- Exprience - Less than 1 year months | |
| data science- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year monthsCompany Details | |
| company - | |
| description - ","The individual possesses skills in C basics, Internet of Things (IoT), Python, MATLAB, data science, machine learning, HTML, and Microsoft Office tools (Word, Excel, PowerPoint). They achieved first place in their B.Tech. program and completed their education at Aurora's Scientific and Technological Institute in Ghatkesar, Andhra Pradesh. They also completed their secondary education at SR Junior College in Warangal, Telangana. They have experience in MS Office, C programming, machine learning, data science, and MATLAB. However, no company details are provided." | |
| "Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details | |
| January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering | |
| Data Science Consultant | |
| Data Science Consultant - Datamites | |
| Skill Details | |
| MACHINE LEARNING- Exprience - 13 months | |
| PYTHON- Exprience - 24 months | |
| SOLUTIONS- Exprience - 24 months | |
| DATA SCIENCE- Exprience - 24 months | |
| DATA VISUALIZATION- Exprience - 24 months | |
| Tableau- Exprience - 24 monthsCompany Details | |
| company - Datamites | |
| description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. | |
| • Responsible for loading, extracting and validation of client data. | |
| • Worked on manipulating, cleaning & processing data using python. | |
| • Used Tableau for data visualization. | |
| company - Heretic Solutions Pvt Ltd | |
| description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making. | |
| • Manipulating, cleansing & processing data using Python, Excel and R. | |
| • Analyzed raw data, drawing conclusions & developing recommendations. | |
| • Used machine learning tools and statistical techniques to produce solutions to problems.","The individual possesses skills in Python, Tableau, data visualization, R Studio, machine learning, and statistics. They are an IABAC Certified Data Scientist with over 1 year of experience in managing business, data science consulting, and leading innovation projects. They have a B.Tech degree in Computer Science & Engineering from Indo Global College of Engineering in Mohali, Punjab. They have 24 months of experience in machine learning, Python, solutions development, data science, and data visualization, with a particular focus on using Tableau. They have worked as a Data Science Consultant at Datamites, where they analyzed and processed complex data sets, performed data loading and validation, and utilized Python and Tableau for data manipulation, cleaning, processing, and visualization. They also have experience at Heretic Solutions Pvt Ltd, where they worked closely with business stakeholders, used Python, Excel, and R for data manipulation and analysis, and applied machine learning tools and statistical techniques to solve problems." | |
| "Education Details | |
| B.Tech Rayat and Bahra Institute of Engineering and Biotechnology | |
| Data Science | |
| Data Science | |
| Skill Details | |
| Numpy- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| Tensorflow- Exprience - Less than 1 year months | |
| Scikit- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| GCP- Exprience - Less than 1 year months | |
| Pandas- Exprience - Less than 1 year months | |
| Neural Network- Exprience - Less than 1 year monthsCompany Details | |
| company - Wipro | |
| description - Bhawana Aggarwal | |
| E-Mail:[email protected] | |
| Phone: 09876971076 | |
| VVersatile, high-energy professional targeting challenging assignments in Machine | |
| PROFILE SUMMARY | |
| ▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability. | |
| TECHNICAL SKILLS | |
| Programming Languages Python, C | |
| Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib | |
| Algorithms | |
| KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering, | |
| Tensorflow, SVM | |
| Databases SQL, Oracle | |
| Operating Systems Linux, Window | |
| Development Environments NetBeans, Notebooks, Sublime | |
| Ticketing tools Service Now, Remedy | |
| Education | |
| UG Education: | |
| B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in | |
| 2016. | |
| Schooling: | |
| XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%) | |
| X in 2010 from Valley Public School (Passed with 9.4 CGPA) | |
| WORK EXPERINCE | |
| Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| OTHER PROJECTS | |
| Title : Diabetes Detection | |
| Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third | |
| prize in it. | |
| TRAINING AND CERTIFICATIONS | |
| Title: Python Training, Machine Learning, Data Science, Deep Learning | |
| Organization: Udemy, Coursera (Machine Learning, Deep Learning) | |
| Personal Profile | |
| Father’s Name :Mr. Tirlok Aggarwal | |
| Language Known : English & Hindi | |
| Marital Status :Single | |
| Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F) | |
| company - Wipro | |
| description - Developing programs in Python. | |
| company - Wipro | |
| description - Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| company - Wipro Technologies | |
| description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.","The individual possesses skills in Python, Tableau, data visualization, R Studio, machine learning, statistics, and various Microsoft Office tools. They have a B.Tech degree in Computer Science & Engineering from Rayat and Bahra Institute of Engineering and Biotechnology. They have less than 1 year of experience in Numpy, machine learning, TensorFlow, Scikit, Python, GCP, Pandas, and neural networks. They have worked as a Data Science Consultant at Datamites, where they analyzed and processed complex data sets and utilized Python and Tableau for data manipulation and visualization. They also have experience at Wipro Technologies, where they worked on projects involving machine learning, deep learning, data science, and Python development. They have knowledge of algorithms, neural networks, NLP, and various programming languages." | |
| "Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details | |
| January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology | |
| January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering | |
| January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha | |
| January 2003 M.tech Thesis Detail BMCH School in Ganj basoda | |
| Data science | |
| I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update | |
| Skill Details | |
| Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details | |
| company - RNT.AI Technology Solution | |
| description - Text classification using Machine learning Algorithms with python. | |
| Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN). | |
| Develop custom data models and algorithms to apply to dataset | |
| Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK. | |
| Comfort with SQL,  MYSQL | |
| Sentiment analysis. | |
|  Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms. | |
| Web crawling using Selenium web driver and Beautiful Soup with python. | |
| company - Life Insurance Corporation of India Bhopal | |
| description - ü Explaining policy features and the benefits | |
| ü Updated knowledge of life insurance products and shared with customers","The individual possesses personal skills such as the ability to quickly grasp technical aspects, willingness to learn, high energy levels, and result-oriented mindset. They have a Master of Engineering in Computer Technology & Application from Truba Institute of Engineering & Information Technology, a B.E. in computer science from RKDF Institute of Science and Technology College of Engineering, and a polytechnic degree in Information Technology from SATI Engineering College. They also have a research thesis from BMCH School. They have less than 1 year of experience in Data Science and have skills in machine learning, deep learning, NLP, Python, SQL, web scraping, and computer subjects. They have worked at RNT.AI Technology Solution, where they have applied machine learning algorithms for text classification, worked with deep learning algorithms, developed custom data models, and utilized Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, and NLTK. They also have experience at Life Insurance Corporation of India, where they explained policy features and benefits to customers and updated their knowledge of life insurance products." | |
| "Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details | |
| PGP in Data Science Mumbai, Maharashtra Aegis School of data science & Business | |
| B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy | |
| Data Scientist | |
| Data Scientist with PR Canada | |
| Skill Details | |
| Algorithms- Exprience - 6 months | |
| BI- Exprience - 6 months | |
| Business Intelligence- Exprience - 6 months | |
| Machine Learning- Exprience - 24 months | |
| Visualization- Exprience - 24 months | |
| spark- Exprience - 24 months | |
| python- Exprience - 36 months | |
| tableau- Exprience - 36 months | |
| Data Analysis- Exprience - 24 monthsCompany Details | |
| company - Aegis school of Data Science & Business | |
| description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present) | |
| company - Aegis school of Data & Business | |
| description - Data Science Intern, Nov 2015 to Jan 2016 | |
| Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. | |
| ➔ Chat Bot using AWS LEX and Tensor flow Python | |
| The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students. | |
| ➔ Web scraping using Selenium web driver Python | |
| The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it. | |
| ➔ Data Visualization and Data insights Hadoop Eco System, Hive, PySpark, QlikSense | |
| The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports. | |
| ➔ Image Based Fraud Detection Microsoft Face API, PySpark, Open CV | |
| The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself. | |
| ➔ Churn Analysis for Internet Service Provider R, Python, Machine Learning, Hadoop | |
| The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers. | |
| ➔ Sentiment Analysis Python, NLP, Apache Spark service in IBM Bluemix. | |
| This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis. | |
| Quantifiable Results: | |
| − Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics. | |
| − Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai. | |
| − Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques. | |
| − Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society. | |
| company - IBM India pvt ltd | |
| description - Mostly worked on blumix and IBM Watson for Data science.","The individual possesses expertise in data and quantitative analysis, decision analytics, predictive modeling, data-driven personalization, KPI dashboards, big data queries and interpretation, data mining and visualization tools, machine learning algorithms, and business intelligence (BI). They have a PGP in Data Science from Aegis School of Data Science & Business and a B.E. in Electronics & Communication from IES IPS Academy. They work as a Data Scientist with PR Canada and have experience in algorithms, BI, business intelligence, machine learning, visualization, Spark, Python, Tableau, and data analysis. They have worked at Aegis School of Data Science & Business, where they taught courses in Spark and Machine Learning and worked on various projects, including chat bot development, web scraping, data visualization, image-based fraud detection, churn analysis, and sentiment analysis. They have also worked at IBM India Pvt Ltd, where they focused on using IBM Watson and Bluemix for data science. Additionally, they have mentored Data Science enthusiasts, reviewed research papers, managed live projects, and contributed to social causes through data science." | |
| "Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details | |
| Data Science Assurance Associate | |
| Data Science Assurance Associate - Ernst & Young LLP | |
| Skill Details | |
| JAVASCRIPT- Exprience - 24 months | |
| jQuery- Exprience - 24 months | |
| Python- Exprience - 24 monthsCompany Details | |
| company - Ernst & Young LLP | |
| description - Fraud Investigations and Dispute Services Assurance | |
| TECHNOLOGY ASSISTED REVIEW | |
| TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports. | |
| * Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review. | |
| * Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool. | |
| * TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues. | |
| Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting. | |
| MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS) | |
| TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories. | |
| * Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud. | |
| * Created customized tableau dashboards for effective reporting and visualizations. | |
| CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on. | |
| * This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer. | |
| * This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions. | |
| Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer | |
| INFORMATION GOVERNANCE | |
| Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk. | |
| * Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana. | |
| * Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial. | |
| * Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks. | |
| Tools & Technologies: Python, Flask, Elastic Search, Kibana | |
| FRAUD ANALYTIC PLATFORM | |
| Fraud Analytics and investigative platform to review all red flag cases. | |
| • FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems. | |
| * It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics | |
| Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js","The individual possesses skills in programming languages such as Python, SQL, Java, and JavaScript/JQuery, as well as expertise in machine learning algorithms, database visualizations, and other technologies like Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision (Open CV), and understanding of deep learning. They have worked as a Data Science Assurance Associate at Ernst & Young LLP, specializing in fraud investigations, dispute services, and technology-assisted review (TAR). They have developed an automated review platform tool implementing predictive coding and topic modeling for e-discovery, reducing labor costs and time spent during lawyers' review. They have worked on multiple data science and analytic projects, including text analytics, chatbot development, information governance, and fraud analytic platform, utilizing various tools and technologies such as scikit-learn, tfidf, word2vec, doc2vec, Naïve Bayes, LDA, NMF, Vader, text blob, Matplotlib, Tableau, NLTK, spacy, Flask, Elastic Search, Kibana, Node.js, D3.js, and DC.js." | |
| "Education Details | |
| May 2013 to May 2017 B.E UIT-RGPV | |
| Data Scientist | |
| Data Scientist - Matelabs | |
| Skill Details | |
| Python- Exprience - Less than 1 year months | |
| Statsmodels- Exprience - 12 months | |
| AWS- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Sklearn- Exprience - Less than 1 year months | |
| Scipy- Exprience - Less than 1 year months | |
| Keras- Exprience - Less than 1 year monthsCompany Details | |
| company - Matelabs | |
| description - ML Platform for business professionals, dummies and enthusiasts. | |
| 60/A Koramangala 5th block, | |
| Achievements/Tasks behind sukh sagar, Bengaluru, | |
| India Developed and deployed auto preprocessing steps of machine learning mainly missing value | |
| treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction. | |
| Deployed automated classification and regression model. | |
| linkedin.com/in/aditya-rathore- | |
| b4600b146 Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and | |
| Prophet. | |
| Worked on meta-feature extracting problem. | |
| github.com/rathorology | |
| Implemented a state of the art research paper on outlier detection for mixed attributes. | |
| company - Matelabs | |
| description - ","The individual holds a Bachelor's degree in Engineering from UIT-RGPV. They have worked as a Data Scientist at Matelabs, specializing in Python, Statsmodels, AWS, machine learning, Sklearn, Scipy, and Keras. At Matelabs, they developed and deployed auto preprocessing steps for machine learning, including missing value treatment, outlier detection, encoding, scaling, feature selection, and dimensionality reduction. They also deployed automated classification and regression models, researched and deployed time series forecasting models such as ARIMA, SARIMAX, Holt-winter, and Prophet, worked on meta-feature extraction, and implemented a state-of-the-art research paper on outlier detection for mixed attributes." | |
| "Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details | |
| January 2019 B.Tech. Electrical and Electronics Engineering Manipal Institute of Technology | |
| January 2015 DEEKSHA CENTER | |
| January 2013 Little Flower Public School | |
| August 2000 Manipal Academy of Higher | |
| DATA SCIENCE | |
| DATA SCIENCE AND ELECTRICAL ENTHUSIAST | |
| Skill Details | |
| Data Analysis- Exprience - Less than 1 year months | |
| excel- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| mathematics- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year months | |
| Electrical Engineering- Exprience - Less than 1 year months | |
| Sql- Exprience - Less than 1 year monthsCompany Details | |
| company - THEMATHCOMPANY | |
| description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business.","The individual has a strong interest in Deep Learning, Control System Design, Programming in Python, Electric Machinery, Web Development, and Analytics. They have gained technical experience during a 4-week training at Hindustan Aeronautics Limited, where they worked on Mirage 2000 fighter aircraft. Their programming skills include Matlab, Python, Java, LabView, Django, Flask, LTSPICE, and they are familiar with various software packages and operating systems. They hold a B.Tech. degree in Electrical and Electronics Engineering from Manipal Institute of Technology. In terms of Data Science, their skills encompass Data Analysis, Excel, Machine Learning, Mathematics, Python, Matlab, Electrical Engineering, and SQL. Currently, they are working with THEMATHCOMPANY on a project involving customer segmentation for a casino operator in Macau, with the aim of improving their current system and implementing targeted marketing strategies." | |
| "Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details | |
| January 2017 to January 2018 PGDM Business Analytics Great Lakes Institute of Management & Illinois Institute of Technology | |
| January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University | |
| Data Science Consultant | |
| Consultant - Deloitte USI | |
| Skill Details | |
| LINEAR PROGRAMMING- Exprience - 6 months | |
| RETAIL- Exprience - 6 months | |
| RETAIL MARKETING- Exprience - 6 months | |
| SCM- Exprience - 6 months | |
| SQL- Exprience - Less than 1 year months | |
| Deep Learning- Exprience - Less than 1 year months | |
| Machine learning- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| R- Exprience - Less than 1 year monthsCompany Details | |
| company - Deloitte USI | |
| description - The project involved analysing historic deals and coming with insights to optimize future deals. | |
| Role: Was given raw data, carried out end to end analysis and presented insights to client. | |
| Key Responsibilities: | |
| • Extract data from client systems across geographies. | |
| • Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades. | |
| Technical Environment: R, Tableau. | |
| Industry: Cross Industry | |
| Service Area: Cross Industry - Products | |
| Project Name: Handwriting recognition | |
| Consultant: 3 months. | |
| The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation. | |
| Role: I was developing sentence correction functionality. | |
| Key Responsibilities: | |
| • Gather data large enough to capture all English words | |
| • Train LSTM models on words. | |
| Technical Environment: Python. | |
| Industry: Finance | |
| Service Area: Financial Services - BI development Project Name: SWIFT | |
| Consultant: 8 months. | |
| The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view | |
| financial reports to respective departments. Reporting also included forecasting expenses. | |
| Role: I was leading the offshore team. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop ETL for data flow | |
| • Validate various reports. | |
| Technical Environment: SAP HANA, Tableau, SAP AO. | |
| Industry: Healthcare Analytics | |
| Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System | |
| Consultant: 2 months. | |
| The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities. | |
| Role: I was involved from design to deploy phase, performed a lot of data restructuring and built | |
| models for insights. | |
| Key Responsibilities: | |
| • Design & Develop data models for reporting. | |
| • Develop and deploy analytical models. | |
| • Validate various reports. | |
| Technical Environment: Data Modelling, SAP HANA, Tableau, NLP. | |
| Industry: FMCG | |
| Service Area: Trade & Promotion | |
| Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months. | |
| The project involved setting up of CRM and CBP modules. | |
| Role: I was involved in key data decomposition activities and setting up the base for future year | |
| forecast. Over the course of the project I developed various models and carried out key | |
| performance improvements. | |
| Key Responsibilities: | |
| • Design & Develop HANA models for decomposition. | |
| • Develop data flow for forecast. | |
| • Developed various views for reporting of Customer/Sales/Funds. | |
| • Validate various reports in BOBJ. | |
| Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting. | |
| Internal Initiative Industry: FMCG | |
| Customer Segmentation and RFM analysis Consultant; 3 months. | |
| The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets. | |
| Technical Environment: Anaconda3, Python3.6, HANA SPS12 | |
| Industry: Telecom Invoice state detection Consultant; 1 months. | |
| The initiative was to reduce the manual effort in verifying closed and open invoices manually, it | |
| involved development to a decision tree to classify open/closed invoices. This enabled effort | |
| reduction by 60%. | |
| Technical Environment: R, SAP PAL, SAP HANA SPS12 | |
| Accenture Experience | |
| Industry: Analytics - Cross Industry | |
| In Process Analytics for SAP Senior Developer; 19 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients. | |
| Role: I have developed various Finance related KPIs and spearheaded various deployments. | |
| Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports. | |
| Key Responsibilities: | |
| • Involved in information gather phase. | |
| • Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and | |
| Calculation View. | |
| • Developed various KPI's individually using complex SQL scripts in Calculation views. | |
| • Created procedures in HANA Database. | |
| • Took ownership and developed Dashboard functionality. | |
| • Involved in building data processing algorithms to be executed in R server for cluster analysis. | |
| Technical Environment: R, SAP HANA, T-SQL. | |
| Industry: Cross Industry | |
| Accenture Testing Accelerator for SAP Database Developer; 21 months. | |
| Accenture Solutions Pvt. Ltd., India | |
| Role: I have taken care of all development activities for the ATAS tool and have also completed | |
| various deployments of the product. | |
| Apart from these activities I was also actively involved in maintenance of the database servers | |
| (Production & Quality) | |
| Key Responsibilities: | |
| • Analyzing business requirements, understanding the scope, getting requirements clarified | |
| interacting with business and further transform all requirements to generate attribute | |
| mapping documents and reviewing mapping specification documentation | |
| • Create / Update database objects like tables, views, stored procedures, function, and packages | |
| • Monitored SQL Server Error Logs and Application Logs through SQL Server Agent | |
| • Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML | |
| • Responsible for Designing, developing and Normalization of database tables | |
| • Experience in performance tuning using SQL profiler. | |
| • Involved in QA, UAT, knowledge transfer and support activities | |
| Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance | |
| Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL.","The individual possesses a diverse set of skills including R, Python, SAP HANA, Tableau, SQL, C#, Linear Programming, Data Modeling, and Advance Analytics, among others. They hold a PGDM in Business Analytics from Great Lakes Institute of Management & Illinois Institute of Technology and a Bachelor's degree in Electronics and Communication Engineering. They are currently working as a Data Science Consultant at Deloitte USI. Their experience includes projects in areas such as retail, finance, healthcare analytics, trade and promotion, and customer segmentation. They have expertise in various technical environments such as R, Python, SAP HANA, Tableau, NLP, and Time Series Forecasting. Additionally, they have previous experience at Accenture, where they worked on projects related to SAP analytics and database development." | |
| "Education Details | |
| MCA YMCAUST, Faridabad, Haryana | |
| Data Science internship | |
| Skill Details | |
| Data Structure- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| Data Analysis- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| Core Java- Exprience - Less than 1 year months | |
| Database Management- Exprience - Less than 1 year monthsCompany Details | |
| company - Itechpower | |
| description - ","The individual has completed an MCA degree from YMCAUST in Faridabad, Haryana. They have also completed a Data Science internship. Their skills include Data Structures, C, Data Analysis, Python, Core Java, and Database Management, all with less than 1 year of experience. They have worked with Itechpower. No further information about their role or responsibilities at Itechpower is provided." | |
| "SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details | |
| August 2014 to May 2018 B.Tech. Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute | |
| June 2012 to May 2014 Secondary Education Warangal, Telangana SR Junior College | |
| Data Science | |
| Skill Details | |
| MS OFFICE- Exprience - Less than 1 year months | |
| C- Exprience - Less than 1 year months | |
| machine learning- Exprience - Less than 1 year months | |
| data science- Exprience - Less than 1 year months | |
| Matlab- Exprience - Less than 1 year monthsCompany Details | |
| company - | |
| description - ","The individual has skills in C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. They have achieved first place in their B.Tech academic performance. They pursued their B.Tech degree at Aurora's Scientific and Technological Institute in Ghatkesar, Andhra Pradesh from August 2014 to May 2018. They completed their secondary education at SR Junior College in Warangal, Telangana from June 2012 to May 2014. They have experience in MS Office, C, machine learning, data science, and MATLAB, all for less than 1 year. No specific company information is provided." | |
| "Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details | |
| January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering | |
| Data Science Consultant | |
| Data Science Consultant - Datamites | |
| Skill Details | |
| MACHINE LEARNING- Exprience - 13 months | |
| PYTHON- Exprience - 24 months | |
| SOLUTIONS- Exprience - 24 months | |
| DATA SCIENCE- Exprience - 24 months | |
| DATA VISUALIZATION- Exprience - 24 months | |
| Tableau- Exprience - 24 monthsCompany Details | |
| company - Datamites | |
| description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. | |
| • Responsible for loading, extracting and validation of client data. | |
| • Worked on manipulating, cleaning & processing data using python. | |
| • Used Tableau for data visualization. | |
| company - Heretic Solutions Pvt Ltd | |
| description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making. | |
| • Manipulating, cleansing & processing data using Python, Excel and R. | |
| • Analyzed raw data, drawing conclusions & developing recommendations. | |
| • Used machine learning tools and statistical techniques to produce solutions to problems.","Fahed is an IABAC Certified Data Scientist with over 1 year of experience in managing business, data science consulting, and leading innovation projects. He has skills in Python, Tableau, data visualization, R Studio, machine learning, and statistics. He completed his B.Tech in Computer Science & Engineering from Indo Global College of Engineering in Mohali, Punjab in January 2017. Fahed has worked as a Data Science Consultant at Datamites, where he analyzed and processed complex data sets, loaded and validated client data, and used Python and Tableau for data manipulation, cleaning, processing, and visualization. He also worked at Heretic Solutions Pvt Ltd, collaborating with businesses to identify issues, proposing data-driven solutions, and applying machine learning and statistical techniques to analyze and draw conclusions from raw data." | |
| "Education Details | |
| B.Tech Rayat and Bahra Institute of Engineering and Biotechnology | |
| Data Science | |
| Data Science | |
| Skill Details | |
| Numpy- Exprience - Less than 1 year months | |
| Machine Learning- Exprience - Less than 1 year months | |
| Tensorflow- Exprience - Less than 1 year months | |
| Scikit- Exprience - Less than 1 year months | |
| Python- Exprience - Less than 1 year months | |
| GCP- Exprience - Less than 1 year months | |
| Pandas- Exprience - Less than 1 year months | |
| Neural Network- Exprience - Less than 1 year monthsCompany Details | |
| company - Wipro | |
| description - Bhawana Aggarwal | |
| E-Mail:[email protected] | |
| Phone: 09876971076 | |
| VVersatile, high-energy professional targeting challenging assignments in Machine | |
| PROFILE SUMMARY | |
| ▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability. | |
| TECHNICAL SKILLS | |
| Programming Languages Python, C | |
| Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib | |
| Algorithms | |
| KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering, | |
| Tensorflow, SVM | |
| Databases SQL, Oracle | |
| Operating Systems Linux, Window | |
| Development Environments NetBeans, Notebooks, Sublime | |
| Ticketing tools Service Now, Remedy | |
| Education | |
| UG Education: | |
| B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in | |
| 2016. | |
| Schooling: | |
| XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%) | |
| X in 2010 from Valley Public School (Passed with 9.4 CGPA) | |
| WORK EXPERINCE | |
| Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| OTHER PROJECTS | |
| Title : Diabetes Detection | |
| Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third | |
| prize in it. | |
| TRAINING AND CERTIFICATIONS | |
| Title: Python Training, Machine Learning, Data Science, Deep Learning | |
| Organization: Udemy, Coursera (Machine Learning, Deep Learning) | |
| Personal Profile | |
| Father’s Name :Mr. Tirlok Aggarwal | |
| Language Known : English & Hindi | |
| Marital Status :Single | |
| Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F) | |
| company - Wipro | |
| description - Developing programs in Python. | |
| company - Wipro | |
| description - Title : Wipro Neural Intelligence Platform | |
| Team Size : 5 | |
| Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence | |
| technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform | |
| comprises three layers: a data engagement platform that can easily access and manage multiple structured and | |
| unstructured data sources; an “intent assessment and reasoning†engine that includes sentiment and predictive | |
| analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed | |
| automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning, | |
| NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be | |
| eliminated. | |
| Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like | |
| dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using | |
| Tensor flow for further learning of new entities. | |
| Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn | |
| classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best | |
| suited response and make the system efficient. | |
| NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills, | |
| Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities | |
| using Keras TensorFlow framework. | |
| company - Wipro Technologies | |
| description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine | |
| Learning, Deep Learning, Data Science, Python, Software Development. | |
| ▪ Skilled in managing end-to-end development and software products / projects from inception, requirement | |
| specs, planning, designing, implementation, configuration and documentation. | |
| ▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network, | |
| NLP, GCP. | |
| ▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks. | |
| ▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off, | |
| Support vector Machine(SVM),Logistic Regression, Neural networks. | |
| ▪ Have knowledge on unsupervised, Supervised and reinforcement data. | |
| ▪ Programming experience in relational platforms like MySQL,Oracle. | |
| ▪ Have knowledge on Some programming language like C++,Java. | |
| ▪ Experience in cloud based environment like Google Cloud. | |
| ▪ Working on different Operating System like Linux, Ubuntu, Windows. | |
| ▪ Good interpersonal and communication skills. | |
| ▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term | |
| perspective | |
| ▪ Flexibility and an open attitude to change. | |
| ▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.","Bhawana Aggarwal is an IT professional with 2 years of experience at Wipro Technologies, specializing in Machine Learning, Deep Learning, Data Science, Python, and Software Development. She has knowledge of Python libraries like Numpy, Pandas, Seaborn, Matplotlib, and Cufflinks, as well as different machine learning algorithms such as KNN, Decision Tree, SVM, Logistic Regression, and Neural Networks. Bhawana has experience with relational databases like MySQL and Oracle, and she is familiar with programming languages like C++ and Java. She has worked in cloud-based environments like Google Cloud and is proficient in operating systems like Linux, Ubuntu, and Windows. Bhawana has good interpersonal and communication skills, problem-solving abilities, and a flexible attitude towards change. She has also worked on the Wipro Neural Intelligence Platform, which involves automation, NLP, cognitive computing, and deep machine learning to automate responses to user queries." | |
| "Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details | |
| January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology | |
| January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering | |
| January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha | |
| January 2003 M.tech Thesis Detail BMCH School in Ganj basoda | |
| Data science | |
| I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update | |
| Skill Details | |
| Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details | |
| company - RNT.AI Technology Solution | |
| description - Text classification using Machine learning Algorithms with python. | |
| Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN). | |
| Develop custom data models and algorithms to apply to dataset | |
| Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK. | |
| Comfort with SQL,  MYSQL | |
| Sentiment analysis. | |
|  Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms. | |
| Web crawling using Selenium web driver and Beautiful Soup with python. | |
| company - Life Insurance Corporation of India Bhopal | |
| description - ü Explaining policy features and the benefits | |
| ü Updated knowledge of life insurance products and shared with customers","The individual has a strong ability to quickly grasp technical aspects and has a willingness to learn. They possess high energy levels and are result-oriented. They hold a Master of Engineering degree in Computer Technology & Application, a Bachelor of Engineering degree in Computer Science, and a diploma in Polytechnic Information Technology. They also completed a Master's thesis at BMCH School. The individual has six months of experience in Data Science and is skilled in Machine Learning, Deep Learning, NLP, Python, SQL, and Web Scraping. They have practical knowledge of Deep Learning algorithms such as Recurrent Neural Networks (RNN) and have worked with Python packages like Pandas, Scikit-learn, TensorFlow, Numpy, Matplotlib, and NLTK. They are familiar with SQL and MySQL and have experience in text classification, sentiment analysis, and web crawling. They have also worked at Life Insurance Corporation of India, where they explained policy features and benefits to customers and kept up-to-date knowledge of life insurance products." | |
| "Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details | |
| PGP in Data Science Mumbai, Maharashtra Aegis School of data science & Business | |
| B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy | |
| Data Scientist | |
| Data Scientist with PR Canada | |
| Skill Details | |
| Algorithms- Exprience - 6 months | |
| BI- Exprience - 6 months | |
| Business Intelligence- Exprience - 6 months | |
| Machine Learning- Exprience - 24 months | |
| Visualization- Exprience - 24 months | |
| spark- Exprience - 24 months | |
| python- Exprience - 36 months | |
| tableau- Exprience - 36 months | |
| Data Analysis- Exprience - 24 monthsCompany Details | |
| company - Aegis school of Data Science & Business | |
| description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present) | |
| company - Aegis school of Data & Business | |
| description - Data Science Intern, Nov 2015 to Jan 2016 | |
| Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. | |
| ➔ Chat Bot using AWS LEX and Tensor flow Python | |
| The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students. | |
| ➔ Web scraping using Selenium web driver Python | |
| The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it. | |
| ➔ Data Visualization and Data insights Hadoop Eco System, Hive, PySpark, QlikSense | |
| The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports. | |
| ➔ Image Based Fraud Detection Microsoft Face API, PySpark, Open CV | |
| The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself. | |
| ➔ Churn Analysis for Internet Service Provider R, Python, Machine Learning, Hadoop | |
| The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers. | |
| ➔ Sentiment Analysis Python, NLP, Apache Spark service in IBM Bluemix. | |
| This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis. | |
| Quantifiable Results: | |
| − Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics. | |
| − Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai. | |
| − Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques. | |
| − Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society. | |
| company - IBM India pvt ltd | |
| description - Mostly worked on blumix and IBM Watson for Data science.","The individual possesses expertise in various areas including Data and Quantitative Analysis, Decision Analytics, Predictive Modeling, Data-Driven Personalization, KPI Dashboards, Big Data Queries and Interpretation, Data Mining and Visualization Tools, Machine Learning Algorithms, and Business Intelligence (BI). They have completed a PGP in Data Science from Aegis School of Data Science & Business and hold a B.E. in Electronics & Communication. The individual works as a Data Scientist with PR Canada and has experience in algorithms, BI, business intelligence, machine learning, visualization, Spark, Python, Tableau, and data analysis. They have worked on industry projects, taught undergraduate and graduate-level courses, and completed internships and projects involving chat bots, web scraping, data visualization, image-based fraud detection, churn analysis, and sentiment analysis. They have also worked at IBM India Pvt Ltd, focusing on IBM Bluemix and IBM Watson for Data Science. They have mentored Data Science enthusiasts, reviewed research papers, managed live projects, and contributed to social causes through Data Science applications." | |