Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 0.5

Vodafone Music Hackathon (10th place / 57)
Dec. 2018
Predict which of the users of the telecom operator Vodafone will use the app Vodafone Music.

Advanced Machine Learning and Signal Processing - eDx
Mar. 2019 - PRESENT

Data Analysis with Python - Cognitive Class
Nov. 2018

Machine learning and data analysis - Coursera
Mar. 2018 - Sep. 2018

Master degree, Nuclear Power Engineering, Graduation with
honours (GPA 4.99 / 5.0)
National Technical University of Ukraine "Igor Sikorsky
Kyiv Polytechnic Institute"
Work experience:
December 2018 - April 2019 data scientist in uData School
● Designed and implemented Machine Learning models for forecasting and clustering;
● Performed BI analysis with sources up to 100 GB to identify fraudulent activity and trends;
● Designed slides for presentations with proposals in consultancy projects.

Projects:
● CPV predictor for Prozorro (a public e-procurement system)
The model determines which category (CPV code) of goods
(services) the tender belongs to. Tender description used as an
input.
● BI analysis for Prozorro
Visual analytics on public procurement.
● Cryptocurrency price prediction
● Interpreter (educational project)

September 2018 - December 2018 trainee in uData School