Dmitry Pesegov

Implemented fast ML NLP models, automated attribution of 90% stocks on NYSE and NASDAQ, IPOs on the fly and cryptos Developed recommendation engine gave matching, ranking, interpretable “Match score” over users and stocks, cryptos, portfolios Automated over 100 portfolios generation, rebalancing and personalization for each user Created analytical dashboards, gave insides for stakeholders Analyzed user’s data, highlighted insights Created data ETL pipelines, data quality control, automated tests

Developed data science, covered needs of 20 WFM project teams in Retailers (Leroy Merlin, OBI, Spar, Auchan, Prisma, Billa), Banks, Telecom, Airports, Manufacturing, HoReCa (KFC, Burger King) Improved time series forecasting, developed data recovery algorithm, improved forecast accuracy to 95% Redefined A/B tests, overcame 2 sigmas significance Highlighted business casualties Created 100 analytical dashboards in PowerBI Created data ETL pipelines (PostgreSQL, Airflow)