Evgeny Zavarygin is a Senior Data Scientist with nine years of experience building production-grade machine learning systems for adtech and gaming, currently scaling Voodoo’s ad network after leading bidding strategy at Unity. He combines a PhD-level background in astrophysics with hands-on expertise in Python, TensorFlow, and MLOps to simplify complex problems into efficient, scalable solutions that improve CTR, conversion prediction, and campaign performance. At PropellerAds and Unity he shipped practical tooling—data quality monitors, counterfactual validation metrics, bias-detection and debugging tools—that materially raised experiment reliability and ad ROI. Comfortable both as an individual contributor and team lead, he has led teams of data scientists to drive technical roadmaps and velocity. A former researcher with multiple publications and grant wins, he brings rigorous statistical thinking and numerical modeling experience from academia into high-throughput production environments.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Theoretical and Mathematical Physics, GPA: 5.0 of 5, Bachelor of Science (BS), Theoretical and Mathematical Physics, GPA: 5.0 of 5 at Ural State University named after A.M.Gorky
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at UNSW Australia
Master of Science (MS), Astrophysics, GPA: 5.0 of 5, Master of Science (MS), Astrophysics, GPA: 5.0 of 5 at Peter the Great St.Petersburg Polytechnic University
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