Machine Learning Specialist at Arvato Financial Solutions
Oslo, Norway
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Summary
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Senior
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Top School
Andreas Strauman is a Machine Learning Specialist with 14 years of hands-on experience turning messy data into production-ready solutions for businesses across Norway. With an M.Sc. in machine learning and statistics, he bridges theory and engineering—building infrastructure, tuning algorithms, and managing secure deployments on platforms like Azure, Databricks, Spark and Delta Lake. He pairs deep technical fluency in Python (TensorFlow, PyTorch, scikit-learn) with practical consultancy experience at Arvato and Vivento, and a track record of teaching and mentoring ML topics. An active open-source contributor, he’s implemented user-facing features and low-level logic for the popular gTile GNOME extension, showing his full-stack instincts beyond core ML. Colleagues rely on him to translate business problems into measurable ML outcomes while keeping IT security and operational reliability front and center.
14 years of coding experience
3 years of employment as a software developer
Masters degree, Machine learning and statistics via applied physics and mathematics., Masters degree, Machine learning and statistics via applied physics and mathematics. at UiT- The Arctic University of Norway
-, Foundation Course in Engineering, -, Foundation Course in Engineering at Høgskolen i Narvik / Narvik University College (HiN)
Contributions:17 commits, 1 PR, 8 comments in 5 days
Contributions summary:Andreas primarily focused on enhancing the gTile extension, which is a window tiling extension for Gnome. Their work involved implementing new features related to window movement and resizing, introducing new keyboard shortcuts for global actions, and modifying existing functionality. The commits demonstrate a focus on both the user interface (through keybindings and preset management) and the underlying logic of the tiling system.
Contributions:28 commits, 6 PRs, 24 pushes in 7 months
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Andreas Strauman - Machine Learning Specialist at Arvato Financial Solutions