Summary
Roman Melnyk is a Senior Data Scientist based in Kyiv with 11 years of experience building end-to-end ML solutions, dashboards, and data pipelines across FMCG, fashion, industrial IoT and finance. He blends hands-on modeling, feature engineering and backtesting with production delivery—creating RShiny and PowerBI dashboards, simulators, and Big Data systems for sensor-driven traffic management, failure prediction and energy estimation. Roman has applied generative AI and LLMs to product lifecycle, sales forecasting and trading strategy problems, and has experience extracting value from large unstructured datasets. Known for reliability, rapid learning and strong communication, he has led projects from ideation to deployment and even founded a civic initiative while continuing senior engineering work at GlobalLogic. He prioritizes ethical engagement and explicitly does not collaborate with Russian teams or projects, and brings a strong academic foundation in theoretical and applied statistics from Ivan Franko National University of Lviv.
11 years of coding experience
10 years of employment as a software developer
Bachelor Master Mechanics and Mathematics. Theoretical and Applied Statistics, Bachelor Master Mechanics and Mathematics. Theoretical and Applied Statistics at Ivan Franko National University of Lviv
English, Ukrainian, Polish, Spanish