Position: Data Analyst/Data Scientist
Category: Data Science
English level: upper
Years of experience: 2

- Increased ARPPU prediction accuracy for new subscriptions (without historical data) – reduced
RMSE by 4 times by using similar subscriptions metrics and experimenting with parameter values
- Improved product content quality by creating an approach to evaluate it and, as a result,
reorganizing
- Reduced problems’ managing time from several hours to minutes by creating an automatic Slack
alerts system
I've been working as a full-stack Data Analyst for 2+ years. My technical skills:
Programming languages: Python, Java
SQL Knowledge: PostgreSQL, MySQL
Cloud Services: AWS (S3, RDS, Athena, Glue) 
Visualization Tools: Tableau, PowerBI
Higher Mathematics: Statistics and probability, Linear algebra, Calculus
Spreadsheets: Google Spreadsheets, MS Office Excel
Product Analytics Tools: Amplitude, FireBase, AppsFlyer
VCS: Git.
My main responsibilities were:
- Provided marketing and product activities’ performance tracking by building hourly updated Tableau reports by using Apache Airflow, Python and SQL
- Optimized data loads and preprocessing by using batch processing; SQL and Python scripts optimization
- Covered applications with product events, designed experiments and analyzed results, finding useful insights and increasing main product metrics
- Participated in the hiring process, mentored junior specialists and helped to achieve their performance goals
Also I am familiar with classic ML algorithms and techniques (classification, regression, clusterization). I have several projects on my GitHub repo.
I am looking for Data Analyst/Data Scientist role, which will help me to develop my skills (ETLs building; predictive models building; seeking for data insights for the purpose of product development). I would like to use my tech stack (SQL, Python, Cloud Services) and to expand this list.