Summary
Ulrik Pedersen is a Lead Data Scientist based in Copenhagen with a track record of translating machine learning and data engineering into operational value across healthcare, biotech and public-sector clients. With roots in biophysics and protein-structure research, he blends scientific rigor from Novozymes with hands-on ML production experience at NTT DATA and Novo Nordisk, specializing in Azure, Snowflake SnowPark and time-series forecasting. He has delivered solutions that optimize operations—predicting food and staffing needs for tourism, enabling green nudging to reduce waste, and embedding IoT into Society 5.0 initiatives. Ulrik mentors teams, writes about his ideas publicly, and maintains active coding projects on GitHub, demonstrating a curiosity that spans from protein folding algorithms to scalable ML pipelines. Notably, his background in biophysics gives him an edge in tackling complex, structured-data problems that require both domain insight and engineering discipline.
3 years of coding experience
8 years of employment as a software developer
Borupgaard Gymnasium
Bachelor of Science (B.Sc.), Biochemistry, Bachelor of Science (B.Sc.), Biochemistry at Københavns Universitet / University of Copenhagen
Master of Science (M.Sc.), Biophysics, Master of Science (M.Sc.), Biophysics at Københavns Universitet