Summary
Daniel Thoren is a Senior Consultant based in Copenhagen with 9 years of experience building ETL and ML pipelines across telecom, chemical processing and legal services, currently working at LEAP AI & Data Consulting. He pairs a BSc in Network Engineering with an MSc in Human-Centered AI to bridge low-level systems and pragmatic MLOps, bringing infrastructure-savvy solutions that consider user impact. At Lundbeck he helped operationalize DataOps and MLOps for regulated drug-development workflows, focusing on cloud-based big data, feature engineering and model deployment. Earlier roles include hands-on industry 4.0 work with AR/VR hardware and applied statistical learning for refinery processes, showing a penchant for deploying ML in production environments. Known for Python-first data engineering and a curious, scientific streak (his GitHub bio even nods to planetary trivia), he blends technical depth with cross-industry adaptability.
9 years of coding experience
6 years of employment as a software developer
IGSCE, Maths, IGSCE, Maths at Rygaards International School
Birkerød Gymnasium, International Relations and Affairs, Birkerød Gymnasium, International Relations and Affairs at International Baccalaureate
Technical University of Denmark