Position: Data Engeneer
Category: Data Science
English level: intermediate
Years of experience: 5

My last successful project - churn. 
Customers to whom the communication was sent made purchases worth 80 million. Margin - 10%.
I have experience in three huge area:
Retail.
- Churn project - created a model for identification of churn clients and their further retention using A/B test
- Telegram Bot - built the bot with automatized internal business reports 
- Clients classification project - created a prediction model for clients' loyalty to specific brands
Bank.
- Matrix of B2B clients - built the prediction matrix for increasing internal products sales to B2B based on internal and external data. Used parsing of open sources (taxes, national statistics data) to enhance the accuracy
- A/B tests
Telecommunication.
- Geo Analytics - Identified & Mapped new potential clients & revenue
streams using parsing of legal entities geocoordinates from open sources