Andrey Tyukavin is a Data & AI professional based in Berlin with eight years of experience applying geospatial science to real-world problems across transport, telecoms, and mapping media. Trained with an MS in Geographic Information Science and Cartography from Lomonosov MSU, he blends strong Python, SQL, and machine learning skills with domain expertise in geography and data management. He has progressed from cartography design to data science roles at Urbica and MegaFon and into project management for Moscow's Department of Transport before taking on Data & AI responsibilities at Feather. Andrey’s background gives him a practical edge in turning spatial data and maps into operational insights and production-ready ML solutions. Colleagues value his ability to bridge rigorous geospatial methods with engineering-focused delivery in fast-moving teams.
Public Transport Accessibility Level calculation (WIP)
Contributions:6 commits, 1 PR, 5 pushes in 1 year 3 months
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