Ilya Sviridov is a Team Lead Data Scientist with eight years of experience building ML-driven forecasting, pricing and ranking systems for freight and retail domains. He led end-to-end projects at Первая грузовая компания that produced wagon turnover forecasts and ML-based pricing, and now guides data science efforts at Sberbank. His background spans quantitative research in trading, demand and revenue forecasting, and production deployments using SQL, PySpark and Python, plus hands-on leadership of small engineering teams. A Moscow-based mathematician (MSU) with additional data engineering training, he blends rigorous mathematical modeling with product-minded experimentation—he even pairs frontend curiosity (TypeScript) with backend analytics to make models more usable for operators.
8 years of coding experience
3 years of employment as a software developer
Data Science and Data Engineering, Data Science and Data Engineering at OzonMasters
Contributions:22 commits, 4 PRs, 11 pushes in 9 days
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