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 (67)
python10
classifier10
deep-learning10
wordnet10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
word2vec9
bengali9
document-classification9
dataframes9
topic-modeling9
Programming languages (5)
Github contributions (5)
tocab/NaturalResponseGeneration
Jan 2018 - Dec 2018
Contributions:3 commits, 3 pushes, 1 branch in 11 months
tocab/efficient-trees
Dec 2024 - Feb 2025
Efficient-Trees: Memory-optimized, multi-threaded decision tree implementation powered by Polars.
Contributions:2 reviews, 1 PR, 12 pushes in 1 month
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