Position: Data scientist
Category: Python
English level: fluent
Years of experience: 4

Leading the Machine Learning stream in EY Financial Risk department
Applied Data Science Center, 01.2018 - 04.2018 - offline courses on Advanced Machine Learning techniques
Hadoop and MapReduce, 2017 - Udacity
Machine Learning, 2016 - Udacity
Python, R, Quantitative analytics, Credit scoring, model validation, Java
08.2014 - current time: Quantitative analyst/developer in EY, Quantitative team. Main responsibilities: developing models in Python/R for credit scoring, risk modelling. Model validation, testing and metrics evaluation. Since 2017 responsible for developing new Machine Learning models for banks' solutions.