Tomas Snellman is a Senior Data Scientist based in Jyväskylä with 11 years of experience translating complex experimental physics problems into production-ready data solutions. He nearly completed a PhD in experimental particle physics, where he developed advanced data analysis and programming skills and learned to balance independent research with tight collaborative workflows. Since 2019 he has applied that expertise at Garmin, focusing on practical, scalable data science rather than purely academic analyses. His open-source contributions include targeted back-end work to refine jet analyses in the ALICE experiment repository, showing attention to performant C++ data processing and physics-aware histogramming. Colleagues describe him as methodical and detail-oriented, able to bridge domain knowledge from high-energy physics to consumer-focused analytics. He brings a rare combination of rigorous experimental thinking and hands-on engineering discipline to data-driven product development.
11 years of coding experience
Rauman Yhteislyseon Lukio
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Jyväskylä
Contributions:51 commits, 29 PRs in 4 years 6 months
Contributions summary:Tomas primarily contributed to the `AliJJetJtAnalysis.cxx` and `AliJJetJtAnalysis.h` files within the repository. Their commits focused on enhancing the analysis of jet data, including adding leading track references and implementing various cuts. The contributions involved modifying histograms, introducing new binning strategies, and adjusting the data processing logic for more detailed jet analysis. The changes aimed at refining the analysis of physics data from the ALICE experiment.
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