Nikita Melentev

Leading 10+ DS / DA specialists on 3 data projects: - Customer churn prediction model which improved retention by ~20% - Forecast of new items which increased items coverage by more than 100% - Computer vision models at the warehouse to scan QR codes and calculate cargo volume. Also: - Interviewed 100+ and hired 10+ DS / DA employees. - Mentored 7+ Junior / Middle DS / DA members of the team. - Managed 5+ GitHub repositories, checked work results, conducted code review of team members.

I worked on p2p recommender system for the website: - Created complementary goods generation and ranking algorithms. - Designed and conducted 3 online and 3 offline AB tests to check algorithmic improvements. - Grew complementary goods conversion to cart by 10% and turnover by 2.5% - Moved models to production with DE / DevOps colleagues using Airflow / DVC / Git / S3 / Greenplum

I worked in a sales forecasting team: - Replaced old ARIMA models with Prophet / Xgboost, added features like promotions, holidays, geolocation etc. This reduced forecasting error from ~25% to ~9% (MAPE). - Developed 15+ sales forecasting models for different planning horizons and product levels, including promo / holidays forecast, new item / store / region forecast, cannibalization effect analysis.