Position: Data Scientist, ml engineer
Category: Data Science
English level: upper
Years of experience: 4

implemented  solution  of  surface defect detection reduced  by 6 times cost on labour force 
more accurate forecasting of demand reduced overstock in retail net by 30%
Eva
         Data Scientist
         June 2021 - current
 developed demand prediction system for retail network (tabular data, LightGBM, XGBoost), reduced excessive stocks by 20%
 developed system for legal document verification (OCR, tesseract, OpenCV)
 developing demand prediction for internet store (tabular data)


         EvoPlay
         Data Scientist
         January 2021 - June 2021
 developed and successfully implemented sports modeling that predict outcomes using Markov Chains and that enabled the hole project growth

         uData Tech
         Data Scientist
         March 2019 - January 2021

 developed BI-system based on manufacturer’s goods data 
 scraped online stores for prices on goods
 built ML models to solve customer churn prediction problem for gas stations
 built ML and statistic models for stock price prediction 
 built model for food detection problem
 developed model to predict optimal prices on banners in internet for ukrainian tv channel
 developed methodology for solving surface defect detection problem and implementation it in production
 created surface defect detection system and deployed it on factory 
that helped to reduce amount of workers from 40 to 5




         uData School
         Trainee Data Scientist
         October 2018 - March 2019

 made research and implemented algorithms to solve CPV code prediction based on tender description on Prozorro dataset (NLP problem)
 developed BI-system for Prozorro sales
 built models to solve anomaly detection problem in the parking