Kristoffer Olesen
Senior Data Scientist
Dallas, Texas, United States
Summary
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SeniorKristoffer Olesen is a Senior Data Scientist with a PhD in Applied Mathematics and 12 years of analytics experience, now leading AI initiatives for Toyota North America’s supply chain from Dallas. He specializes in optimization, time-series analysis, and production-ready ML systems, having delivered Gurobi-based models that unlocked 16,000+ extra vehicle builds and over $120M in savings. His background spans academia and industry—from maritime anomaly detection using sequential deep learning to predictive models for mental-health events and generative segmentation pipelines—demonstrating an ability to transfer research into operational impact. Comfortable across the ML stack, he architects scalable data pipelines, agile development processes, and deployable models that bridge complex mathematics with business value. Notably, he has solved cold-start problems through transfer learning and achieved high change-point detection accuracy by explicitly modeling seasonality. He combines a practitioner’s focus on production readiness with a researcher’s curiosity for state-of-the-art methods in big data and AI.
12 years of coding experience
7 years of employment as a software developer
Danish, English, GermanProgramming languages (1)
Github contributions (5)
chrban/Boligformidling
Apr 2014 - May 2014
Contributions:126 commits in 1 month
chrban/prosjektoppgave-cpp
Apr 2015 - May 2015
Contributions:74 commits in 26 days
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