Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2


Data Scientist (Dec 2021 - current, Jun 2020 - Jun 2021)
Retail

Project overview: 
Customer Value Management project in one of the biggest Ukrainian retail companies to provide our customers the best personalized offers.

Achievements:
- Built LookAlike model for better audience coverage
- Built BPR-base Recommender System for personal preferences (item's utility)
- Worked on Uplift model for better uplift accuracy
- Worked on demand prediction models


Data Scientist (Jun 2021 - Dec 2021)
Betting

Project overview:
Web sports book for a wide range of sports including
classical and cyber sports

Achievements:
- Builed approximations and probabilistic models for sport events (linear, polynomial, logistic, NeuralNets)
- Deployed and continuously developed models in Go
environment


Other experience (academic):
Time-series modelling (ARIMA models, GARCH models, Kalman Filtering/Smoothing [state space models], quantile models [CAViaR]), multi-variable analysis, options’ price prediction with Black-Scholes model (EU options) or Monte-Carlo simulations (American options), trees (for barrier options), options with GBM/AGM/Mean-Reverse processes