Daniel Strallhofer
Data Scientist
Stockholm, Stockholm County, Sweden
Summary
🤩
Rockstar🎓
Top SchoolDaniel Strallhofer is a data scientist with six years of experience specializing in fraud and risk modeling, currently working on Fraud & Abuse prevention at Spotify after roles across Klarna’s risk and credit teams. He holds an M.Sc. in Industrial Engineering and Management from KTH with a Computer Science specialization in Machine Learning and has applied those skills to real-world problems from credit scoring to transaction fraud mitigation. Comfortable with production ML stacks (Python, SQL/Redshift, Airflow, AWS/SageMaker) and automation, he has a track record of turning analytical insights into operational policies and systems. His academic work on fairness and transparency at the Swedish Tax Agency and practical thesis projects on NLP for medical urgency hint at a strong interest in responsible, interpretable ML. Colleagues describe him as a curious engineer who bridges rigorous research perspectives with product-focused delivery in high-volume financial and consumer platforms.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Industrial Engineering and Management - Specialization: Machine Learning, Master of Science - MS Industrial Engineering and Management - Specialization: Machine Learning at KTH Royal Institute of TechnologyExchange studies, Exchange studies at Korea Advanced Institute of Science and Technology
Swedish, English, German
Github Skills (8)
visual-studio-code10
typescript10
visual-studio10
vscode-extension10
electron10
vscode10
microsoft10
editor10
Programming languages (2)
Github contributions (5)
strallis/advent-of-code
Nov 2022 - Dec 2024
Advent of Code 2022
Contributions:2 PRs, 26 pushes, 2 branches in 2 years
strallis/f1weather
Dec 2020 - May 2023
Contributions:9 pushes in 2 years 5 months
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