Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2.5


~2.5 years as a Data Scientist/Analyst (till now)
~3.5 years as PPC Specialist and Traffic Arbitrage Specialist
Master’s degree in Computer Science
Completed more than 10 Python and Data Science courses from Coursera, Kaggle, Hillel, ITEA, Udemy, DataCamp

Responsibilities: 
- Building automated ETL-pipelines for reporting using Python, third-party API's and SQL
- Creating functional dashboards using Google Data Studio and Amazon QuickSight
- Conducting paid traffic performance analysis and users behavior analysis using Python
- Time Series analysis, modeling, forecasting and anomaly detection using Holt-Winters triple exponential smoothing model and Brutlag's algorithm
- Deploying models with Apache AirFlow and Amazon S3/Glue
- Features influence research using Random Forest model

Also conducting cryptocurrency prices data analysis as pet project