Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0


Experience    

• FEB 2019 – Dec 2019
Machine Learning Researcher at Samsung R&D Institute
As a member of a team, worked on Document Layout Analysis for handwritten input recognition. Designed a model for localization of text, mathematical expressions, shapes and drawings.
Technologies used: 
– Python 3.6 (sklearn, shapely, scipy, numpy, pandas), Keras, Pytorch;
– GRU networks, fully connected networks, graph algorithms, feature engineering, ANOVA, PCA

    • MAY 2018 – FEB 2019
Machine Learning Risk Analyst, MaxPay
worked on several tasks:
    • prepared monitoring models using modified moving average approach 
    • designed machine learning fraud-detective model using decision trees
    • as a part of risk management team, participated in creation of rule-based logic and monitoring of its effectiveness

Technologies used:

– Python 3.5 (sklearn, scipy, numpy, pandas), H20

– XGBoost, Random Forest, moving average, linear regression, feature engineering 


    • 2012 – MAY 2018 
Researcher, Frantsevich Institute for Problems of Material Science, NAS of Ukraine

Managed a research project devoted to the investigation of new shape memory alloy for biomedical use. Published 13 articles and presented research on 10 conferences


    • SEPT 2011–SEPT 2012 
Graduate Student Researcher, Institut Polytechnique de Grenoble, France