Position: Data analyst (product, BI), Data engineer
Category: Data Analyst
English level: intermediate
Years of experience: 4

- Finished It-school with final project - text multiclass classificator by Neural network. (Definition of text genre)
- Took part in 4 competitions  on the kaggle  
- Basic of programing on R - Certificate with honors
- Data analysis with R - Certificate with honors. 
- Basic of statistic
- Reports for Marketing, Customer support, Customer Success departments (Marketing funnels, Sales funnels, different conversion rates, retention, LTV etc.) Product researching for different hypothesis.
- Python Scripts for automatic creation report in google sheets, Google Data Studio, Power BI.  Import and export data to/from different sources (MySQL, Google Big Query etc). ETL data from different API (Google Analytics, Google Ads,  Amplitude, Stripe, Slack, Helpscout, Canny).
- Using Selenium for scraping data from WEB pages
- Familiar with Machine Learning ( Regression, Random Forest, Decision trees, SVM, k-mean,  Neural networks)
-  SQL queries to DWH,  SQL Server Integration Services (SSIS) 
- Dashboards and other visualizations in Power BI
- Orchestration in AirFlow
Difficult and therefore interesting tasks, Work-life balance