Summary
Charles Determan is a Senior Data Scientist with 11 years of experience applying machine learning, time series, and deep learning to biomedical and logistics problems. He has led enterprise-level forecasting, pricing, and reinforcement learning projects at Schneider that directly saved the company hundreds of thousands of dollars and shaped data science strategy. At Farmers Insurance he continues to translate complex data into production-ready models, having also driven adoption of PyTorch, LLMs, and GPU acceleration across teams. His background includes hands-on bioinformatics and metabolomics research (PhD) and teaching, giving him a rare mix of academic rigor and practical deployment experience. He mentors and hires data science talent, coordinates cross-functional initiatives around data warehousing and model governance, and builds tooling to scale workflows. Quietly, he pairs high-performance computing interests with real-world impact, moving prototypes into robust production systems.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Integrated Biosciences, Doctor of Philosophy (Ph.D.) Integrated Biosciences at University of Minnesota-Duluth
Bachelor of Science (B.S.) Biology General, Bachelor of Science (B.S.) Biology General at University of Wisconsin-Stevens Point