Polina Rozenshtein
Senior Applied Scientist at Amazon
Chiyoda, Japan
Summary
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Senior🎓
Top SchoolPolina Rozenshtein is a Senior Applied Scientist with 11 years of experience specializing in temporal graph mining and interaction-network analysis, currently advancing search-related research at Amazon in Tokyo. Her work spans detecting spatiotemporal events in urban data, pinpointing tightly-knit social groups and activity intervals, and tracing interaction chains that spark viral topics—typically operating on datasets with thousands to millions of temporal interactions using Python and C++. She holds a PhD in Data Mining from Aalto University and has blended academic depth with industry impact through roles at Nordea, Silo.AI and research fellowships across Europe. Polina combines practical engineering—C++/Python production skills and interest in parallel/distributed computing—with rigorous research on temporal network summarization and infection-spread modeling. Notably, her trajectory blends long-term academic projects (multiple visiting researcher stints) with hands-on product-facing applied science at scale.
11 years of coding experience
9 years of employment as a software developer
Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ) / State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)Doctor of Science, Data Mining, Doctor of Science, Data Mining at Aalto University School of Science and TechnologyBachelor of Science (BS), Applied Mathematics and Informatics, Bachelor of Science (BS), Applied Mathematics and Informatics at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Github Skills (1)
javascript2
Programming languages (2)
Github contributions (5)
polinapolina/reconstructing-an-epidemic-over-time
Feb 2016 - Aug 2023
Contributions:6 pushes, 1 branch in 7 years 7 months
polinapolina/dynamic_dense_subgraph
Nov 2014 - Jan 2018
Contributions:18 commits, 5 pushes in 3 years 3 months
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