ganchengguang/resume_seven_class · Datasets at Hugging Face

text stringlengths 0 2.08k
PI Pune - 411042.
PI Mob:- 9130921718
PI Email: - [email protected]
Obj OBJECTIVE:
Obj � Continuously enhance my skills and knowledge in your Organization.
Edu EDUCATION QUALIFICATION:
Edu Education Board/University Marks Obtained
Edu S.S.C (2009-2010) Maharashtra 69.61%
Edu H.S.C (2011-2012) Maharashtra 67.83%
Edu B.Com Open University Passed
Edu Advance Education:
Edu Company Secretaries Course (Foundation)
Skill Advanced Computing
Skill � MS-CIT
Skill � Internet Surfing, Creating & Managing e-mail accounts
Skill � Tally ERP 9
Exp PROFESSIONAL EXPERIENCE 1
Exp Company : Alka Joshi’s Creative HR Solutions
Exp Designation : Accountant.
Exp . Period : 28 Sep 2016 to 31 May 2017
Exp PROFESSIONAL EXPERIENCE 1
Exp Company : Unik Gauges and Tools
Exp Designation : Accountant.
Exp . Period : 15 Sep 2017 to 31 Aug 2018
Exp Role & Key Responsibilities:
Exp � Making Quotations
Exp � Export Transaction
Exp � Accounting Invoices
Exp � Tally Entries
Exp � GST Pre-Working
Exp � TDS Pre-Working
Exp � Payment Follow-up
Exp � Administration
Exp � Bank Reconciliation
Exp � Bank Transactions
Exp � Petty cash
Exp � E-way Bill making
Exp � ERP Software
Sum PERSONAL SKILLS:
Sum Ability to deal with people confidently, willingness to learn, hard working and can adjust in any
Sum environment and situations, dependable, trustworthy.
PI PERSONAL PROFILE:
PI Name : Geetanjali Kundalik Borkar
PI Gender : Female.
PI Father’s Name : Mr. Kundalik M. Borkar
PI Nationality : Indian.
PI Date of Birth : 24-10-1994
PI Hobbies : Singing, Tracking, Surfing.
PI Permanent Address : 4/72, Tukaram Smruti,
PI Ghule Nagar Road, Wadgaoan Bk.,
PI Pune - 411042.
PI Languages Known : Marathi, English, Hindi.
Obj I hereby declare that above given information is true and to the best of my knowledge.
PI Thanking You,
PI Place: Pune (Geetanjali Borkar)
PI Date:
PI Page 1 of 2
PI WORK
Exp EXPERIENCE
PI SOUMYA RANJAN BARDHAN
PI #32, Prasiddhi, 4th Cross, A- Block, Vinayaknagar, Bangalore-560017
PI Cell: +91-8882293947, Email:[email protected]
PI An accomplished Statistician with three plus years of experience in statistical modeling and analytical
PI projects, looking for challenging career to apply these skills on the analytical problems requiring
PI innovative and alternative solutions and seeking a responsible and exciting position through sincerity, hard
PI work and honesty.
Exp PROFILE
Exp  Specialized in Machine Learning and Deep Learning Algorithms, Predictive Modeling,
Exp Logistic regression, Customers Segmentation, Decision tree.
Exp  Proficiency in R, Python, SAS and Excel.
Exp  Good knowledge in banking data understanding.
Exp  Published one research papers on core set development using Random Forest and LASSO for
Exp feature selection, suitable clustering technique and sample allocation strategy.
Exp  Passionate about solving complex business problems using predictive modeling.
Sum SUMMARY
Sum  Statistician, Zafin, Bangalore, Nov 2017 – Present
Sum  Associate Statistician, Zafin, Bangalore, Jan 2016 – Oct 2017
Sum  Senior Research Fellow, IASRI, New Delhi, Nov2014 – Mar,2015
Exp CAREER
Exp PROFILE
Exp Customer Segmentation
Exp  Deposit Behavior segmentation (Coast Capital): The objective was to understand the deposit
Exp and transaction behavior of banks customer in order to drive profitable strategies.
Exp  Check Fraud Segmentation (TD Bank): The objective was to find the inherent behavior of
Exp the transactions associated with the accounts which lead to fraudulent activities.
Exp  Applied Variable Clustering for feature selection, various techniques to decide number of
Exp cluster, K-Means Segmentation, LDA for segments validation, profiling of the customers on
Exp the basis of segmentation results and finally Segment visualization.
Exp  End to End process Documentation for client delivery.
Exp Product Development
Exp  Cross Sell, Up Sell and Churn predictive models: Developed for different Banking Products
Exp like Checking, Saving, Mortgage, Term Deposit etc.
Exp  Deposit Growth Model: Developed LightGBM model using Python
Exp  Applied various statistical techniques for data exploration, Logistic regression and Machine
Exp learning algorithms like GBM, XGBOOST and Random Forest.
Exp Fraud Detection
Exp  The objective for the Bank (TD Bank) was to develop a Mobile Remote Deposit Check fraud
Exp risk model for OTC retail and corporate customers and institutionalize the model in production
Exp to prevent expected fraud loss and reduce false positives.
Exp  Built Logistic model with 98% ROC, which was predicting 98.5% fraud in top 3 deciles high-

PI Pune - 411042.

PI Mob:- 9130921718

PI Email: - [email protected]

Obj OBJECTIVE:

Obj � Continuously enhance my skills and knowledge in your Organization.

Edu EDUCATION QUALIFICATION:

Edu Education Board/University Marks Obtained

Edu S.S.C (2009-2010) Maharashtra 69.61%

Edu H.S.C (2011-2012) Maharashtra 67.83%

Edu B.Com Open University Passed

Edu Advance Education:

Edu Company Secretaries Course (Foundation)

Skill Advanced Computing

Skill � MS-CIT

Skill � Internet Surfing, Creating & Managing e-mail accounts

Skill � Tally ERP 9

Exp PROFESSIONAL EXPERIENCE 1

Exp Company : Alka Joshi’s Creative HR Solutions

Exp Designation : Accountant.

Exp . Period : 28 Sep 2016 to 31 May 2017

Exp PROFESSIONAL EXPERIENCE 1

Exp Company : Unik Gauges and Tools

Exp Designation : Accountant.

Exp . Period : 15 Sep 2017 to 31 Aug 2018

Exp Role & Key Responsibilities:

Exp � Making Quotations

Exp � Export Transaction

Exp � Accounting Invoices

Exp � Tally Entries

Exp � GST Pre-Working

Exp � TDS Pre-Working

Exp � Payment Follow-up

Exp � Administration

Exp � Bank Reconciliation

Exp � Bank Transactions

Exp � Petty cash

Exp � E-way Bill making

Exp � ERP Software

Sum PERSONAL SKILLS:

Sum Ability to deal with people confidently, willingness to learn, hard working and can adjust in any

Sum environment and situations, dependable, trustworthy.

PI PERSONAL PROFILE:

PI Name : Geetanjali Kundalik Borkar

PI Gender : Female.

PI Father’s Name : Mr. Kundalik M. Borkar

PI Nationality : Indian.

PI Date of Birth : 24-10-1994

PI Hobbies : Singing, Tracking, Surfing.

PI Permanent Address : 4/72, Tukaram Smruti,

PI Ghule Nagar Road, Wadgaoan Bk.,

PI Pune - 411042.

PI Languages Known : Marathi, English, Hindi.

Obj I hereby declare that above given information is true and to the best of my knowledge.

PI Thanking You,

PI Place: Pune (Geetanjali Borkar)

PI Date:

PI Page 1 of 2

PI WORK

Exp EXPERIENCE

PI SOUMYA RANJAN BARDHAN

PI #32, Prasiddhi, 4th Cross, A- Block, Vinayaknagar, Bangalore-560017

PI Cell: +91-8882293947, Email:[email protected]

PI An accomplished Statistician with three plus years of experience in statistical modeling and analytical

PI projects, looking for challenging career to apply these skills on the analytical problems requiring

PI innovative and alternative solutions and seeking a responsible and exciting position through sincerity, hard

PI work and honesty.

Exp PROFILE

Exp  Specialized in Machine Learning and Deep Learning Algorithms, Predictive Modeling,

Exp Logistic regression, Customers Segmentation, Decision tree.

Exp  Proficiency in R, Python, SAS and Excel.

Exp  Good knowledge in banking data understanding.

Exp  Published one research papers on core set development using Random Forest and LASSO for

Exp feature selection, suitable clustering technique and sample allocation strategy.

Exp  Passionate about solving complex business problems using predictive modeling.

Sum SUMMARY

Sum  Statistician, Zafin, Bangalore, Nov 2017 – Present

Sum  Associate Statistician, Zafin, Bangalore, Jan 2016 – Oct 2017

Sum  Senior Research Fellow, IASRI, New Delhi, Nov2014 – Mar,2015

Exp CAREER

Exp PROFILE

Exp Customer Segmentation

Exp  Deposit Behavior segmentation (Coast Capital): The objective was to understand the deposit

Exp and transaction behavior of banks customer in order to drive profitable strategies.

Exp  Check Fraud Segmentation (TD Bank): The objective was to find the inherent behavior of

Exp the transactions associated with the accounts which lead to fraudulent activities.

Exp  Applied Variable Clustering for feature selection, various techniques to decide number of

Exp cluster, K-Means Segmentation, LDA for segments validation, profiling of the customers on

Exp the basis of segmentation results and finally Segment visualization.

Exp  End to End process Documentation for client delivery.

Exp Product Development

Exp  Cross Sell, Up Sell and Churn predictive models: Developed for different Banking Products

Exp like Checking, Saving, Mortgage, Term Deposit etc.

Exp  Deposit Growth Model: Developed LightGBM model using Python

Exp  Applied various statistical techniques for data exploration, Logistic regression and Machine

Exp learning algorithms like GBM, XGBOOST and Random Forest.

Exp Fraud Detection

Exp  The objective for the Bank (TD Bank) was to develop a Mobile Remote Deposit Check fraud

Exp risk model for OTC retail and corporate customers and institutionalize the model in production

Exp to prevent expected fraud loss and reduce false positives.

Exp  Built Logistic model with 98% ROC, which was predicting 98.5% fraud in top 3 deciles high-