Tobias Cabanski
Senior Data Scientist
Cologne, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolTobias Cabanski is a Senior Data Scientist with nine years of experience and a strong track record at Kaufland e-commerce, where he leads analytics for sponsored product ads and previously built production ML systems for attribute extraction, categorization, demand forecasting, and dynamic pricing. He combines deep expertise in NLP, neural networks, and time series methods with pragmatic engineering in Python to turn research ideas into scalable marketplace features. His work uniquely spans both advertising optimization and core commerce problems, improving GMV and operational efficiency. Based in Cologne, he brings academic rigor from an M.Sc. in Computer Science and a history of shipping end-to-end ML services that remove manual processes and directly impact business metrics.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer science, Master of Science - MS, Computer science at Heinrich-Heine-Universität Düsseldorf
German, English
Github Skills (60)
python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
dataframe9
fasttext9
classification9
dataframes9
keras9
neural-architecture-search9
rust8
automated-machine-learning8
Programming languages (4)
Github contributions (5)
tocab/efficient-trees
Dec 2024 - Sep 2025
Efficient-Trees: Memory-optimized, multi-threaded decision tree implementation powered by Polars.
Contributions:6 reviews, 4 PRs, 16 pushes in 9 months
decision-treepolars
tocab/NaturalResponseGeneration
Jan 2018 - Dec 2018
Contributions:3 commits, 3 pushes, 1 branch in 11 months
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