Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

In addition to work achievements, I enjoy participating in hackathons and competitions:
 - INT20H 2022 Hackathon: 1st place
 - CSC Hackathon 2021: 1st place
 - Student hackathon INT20H: 1st place
 - National Bank of Ukraine IT Challenge: 2nd place
 - Yandex.Realty: 7th place
 - Zindi Fraud Detection: 4th place
 - Sibur AI 2021: 11th place
 - Sibur AI 2020: 16th place
Data Scientist with 2 years experience in the Retail/Pricing domain. Specialize in Time-Series, GraphML, NLP with a focus on research.

-- Used Graph Neural Networks to create Product Embeddings for increasing calculations    accuracy of price elasticities
-- Developed a Product Matching system to find the same products in different stores with precision >95% and recall 70%
-- Designed Product Bundling system via Item-based RecSys to increase clients revenue by creating product bundles with discount
-- Improved existing Time-Series Model accuracy by 7% for better sales estimation and more precise repricing
-- Clustered Stores using geo and time-series data to find patterns of pricing across Ukraine
-- Carried out Recruitment Process: resume/test task screening, conducting tech interview
Not interested in Data Engineer/Data Analyst positions