Summary
Terkel Olsen is a Senior Data Scientist based in Copenhagen with 8 years of experience applying statistical modelling, time series analysis and machine learning to operational problems in maritime and industrial settings. With an MSc in Mathematical Modelling from DTU (and an exchange at EPFL), he combines rigorous academic training with hands-on delivery of production systems—ranging from mixed-integer optimisation for bunker planning to machine-learned consumption and CO2 monitoring pipelines. At ZeroNorth he has led projects that blend deterministic optimisation, domain-aware data validation for low-connectivity environments, and model benchmarking that informed an industry white paper. He is comfortable across the stack (Python, Django, Typescript/React) and has practical experience designing scalable data collection platforms and ETL workflows. Notably, he brings naval architecture awareness to ML work, enabling models that respect vessel-specific constraints and operational realities. Colleagues would describe him as a methodical problem-solver who translates complex domain requirements into deployable, auditable analytics.
9 years of coding experience
3 years of employment as a software developer
Exchange Student, Exchange Student at Ecole polytechnique fédérale de Lausanne
STX, Science, Matematik A, fysik B og kemi A, STX, Science, Matematik A, fysik B og kemi A at Rungsted Gymnasium
Technical University of Denmark
Danish, English