Data Scientist
Experience
FULL STACK ENGINEER, SCALORS GMBH - OCTOBER 2018 - MARCH 2019
• Two projects focused on financial forecasting and HR processes optimization
• Spring Boot, Spring MVC, Spring Security, Hibernate & JPA, MySQL
• React, Material Design, Material UI, Redux, Axios
• Defining App architecture and Data Model; Microservice architecture; Scrum
• Rest API development and documenting using Swagger
• Reporting directly to CEO in financial forecasting tool, working in a team for HR app
FOUNDER, BESMART - MARCH 2018 - MARCH 2019
• Startup to improve education of visually impaired children in Ukraine focused on accessibility and UX
• With a team built a web prototype that can be used by children and in classrooms
• Full-Stack Web Development using MEAN software stack
• Deployment on AWS using EC2 and S3
• REST API Development and testing
INTERN, NATIONAL BANK OF UKRAINE - APRIL 2018 - JUNE 2018
• Developed desktop Java application for macroeconomic research optimization
• JavaFX & Apache POI (Excel)
• R for financial time series analysis and decomposition
• MATLAB for short term GDP forecasting using Kalman filter
FOUNDER, BEKYIV FOR IOS, SWIFT — SEPTEMBER 2016 - NOVEMBER 2017
• iOS app to help small local businesses in Kyiv to promote themselves
• Deployed a fully-functional app in App Store and signed a number of contracts • Swift,CloudKit,CoreData,UICollectionView,UITableView,UIKit

Education
• Kiev National Taras Shevchenko University - B.S. in Computer Science, 2016 - 2020 (GPA 90/100)
• Deep learning AI specialization by Andrew NG on Coursera
• Machine Learning Crash Course from Google.
Skills
• Knowledge of Python, Java, JavaScript
• Familiar with algorithms and data structures, OOP principles, design principles
• Spring, Spring Boot, React, HTML/CSS/JS skills, GIT, JIRA
• Knowledge of web-development and mobile development
• Machine Learning and Data Science
• Basic knowledge of AWS (EC2, S3, Elastic Beanstalk)
Pre-Trained Multilingual BERT on hand-picked Ukrainian corpus to generate stories for kids
Built LSTM-based model for time series prediction and classification
Самостійно розробив продукт для внутрішнього використання компанії
Оптимізував роботу двох підрозділів Національного Банку
Випустив додаток у App Store
Pre-Trained Multilingual BERT on hand-picked Ukrainian corpus to generate stories for kids
Built LSTM-based model for time series prediction and classification
Самостійно розробив продукт для внутрішнього використання компанії
Оптимізував роботу двох підрозділів Національного Банку
Випустив додаток у App Store
Experience
FULL STACK ENGINEER, SCALORS GMBH - OCTOBER 2018 - MARCH 2019
• Two projects focused on financial forecasting and HR processes optimization
• Spring Boot, Spring MVC, Spring Security, Hibernate & JPA, MySQL
• React, Material Design, Material UI, Redux, Axios
• Defining App architecture and Data Model; Microservice architecture; Scrum
• Rest API development and documenting using Swagger
• Reporting directly to CEO in financial forecasting tool, working in a team for HR app
FOUNDER, BESMART - MARCH 2018 - MARCH 2019
• Startup to improve education of visually impaired children in Ukraine focused on accessibility and UX
• With a team built a web prototype that can be used by children and in classrooms
• Full-Stack Web Development using MEAN software stack
• Deployment on AWS using EC2 and S3
• REST API Development and testing
INTERN, NATIONAL BANK OF UKRAINE - APRIL 2018 - JUNE 2018
• Developed desktop Java application for macroeconomic research optimization
• JavaFX & Apache POI (Excel)
• R for financial time series analysis and decomposition
• MATLAB for short term GDP forecasting using Kalman filter
FOUNDER, BEKYIV FOR IOS, SWIFT — SEPTEMBER 2016 - NOVEMBER 2017
• iOS app to help small local businesses in Kyiv to promote themselves
• Deployed a fully-functional app in App Store and signed a number of contracts • Swift,CloudKit,CoreData,UICollectionView,UITableView,UIKit

Education
• Kiev National Taras Shevchenko University - B.S. in Computer Science, 2016 - 2020 (GPA 90/100)
• Deep learning AI specialization by Andrew NG on Coursera
• Machine Learning Crash Course from Google.
Skills
• Knowledge of Python, Java, JavaScript
• Familiar with algorithms and data structures, OOP principles, design principles
• Spring, Spring Boot, React, HTML/CSS/JS skills, GIT, JIRA
• Knowledge of web-development and mobile development
• Machine Learning and Data Science
• Basic knowledge of AWS (EC2, S3, Elastic Beanstalk)
