Florian Dewes is a Berlin-based Data Scientist with nine years of experience combining Linux expertise, big data tooling, and applied machine learning. Currently at Hochschule für Technik und Wirtschaft Berlin, he brings research-grade rigor from a Master's in Project Management and Data Science and hands-on experience from earlier data science roles in ad-tech. A self-described open source and LLM enthusiast, Florian focuses on practical, reproducible pipelines on Linux environments and enjoys exploring cutting-edge large language model tooling. He pairs solid academic credentials—including a Johns Hopkins data science specialization—with a humanities background, giving him a knack for translating technical results into clear, actionable insights.
9 years of coding experience
1 year of employment as a software developer
M.A., American/United States Studies/Civilization, M.A., American/United States Studies/Civilization at Johannes Gutenberg University Mainz
Specialization, Data Science, Specialization, Data Science at John Hopkins University
Master's degree, Project Management and Data Science, 1.2, Master's degree, Project Management and Data Science, 1.2 at Hochschule für Technik und Wirtschaft Berlin
Contributions:9 PRs, 31 pushes, 10 branches in 4 months
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