Christoph Hube
Data Scientist
Lower Saxony, Germany
Summary
👤
Senior🎓
Top SchoolChristoph Hube is a data scientist with a decade of experience bridging academic research and industry practice, currently applying ML and text-mining expertise at Verband der Vereine Creditreform in Germany. He holds a PhD in Computer Science from Leibniz Universität Hannover and previously led applied ML efforts at inserve and Concordia Versicherungs-Gesellschaft after research work at L3S. His strengths span data/text mining, deep learning, and production-ready machine learning engineering, with a track record of moving research ideas into commercial analytics and risk-related applications. Based in Lower Saxony, he combines rigorous academic training with practical engineering discipline, often focusing on interpretable models for business contexts. An experienced collaborator, he tends to work at the intersection of NLP and structured analytics—bringing measurable impact to credit and insurance domains.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Informatik, Doctor of Philosophy - PhD, Informatik at Leibniz Universität Hannover
Github Skills (5)
grobid9
pdf6
tei6
java6
metadata5
Programming languages (1)
Github contributions (5)
ChristophHubeL3S/debiasEmb
Oct 2019 - Oct 2019
Contributions:11 commits, 9 pushes, 1 branch in 3 days
Contributions:5 pushes, 1 branch in 1 day
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