Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1.5

Built models for user-item recommendations increased sales by 6%, crossell increased sales by 5%, analog/upsell increased sales by 3%.
2021-2022 
•Parsed data from state resources and compared with questionnaire data.
• Evaluated quality of front office with Python generated reports. •Created procedures in PL SQL and updated scripts for reports.
•Searched for fraud customers and built a model to automate search for fraud requests
•Implementation and analysis of AB test results. 
•Collaboration with other departments to implement new marketing campaigns. 
•Classifying users by behavior on the market.

2020
•ETL for fraud calls in "KazakhTelecom" network. Searching for patterns
•Wrapped project into Docker and using RabbitMQ sent it to MongoDB