Summary
Martin Thøgersen is a Lead Data Scientist with a Ph.D. in theoretical physics and nine years of industry experience turning ML and analytics into operational value across wind energy and logistics. He combines deep mathematical modeling skills from academia with hands-on engineering in data warehouses, real-time IoT pipelines, and MLOps (Python, Kafka, Flink, Azure/Databricks). At Vestas he led cross-enterprise BI and introduced productionized ML for cost models and anomaly detection; at BEUMER he focused on real-time insight for baggage and parcel systems. Known for building durable, user-facing data solutions—one search tool he created still serves hundreds of thousands of hits monthly—he balances curiosity and systematic rigor to solve messy business problems. Outgoing and pragmatic, he excels at bridging domain experts and engineering teams to deliver lasting, scalable analytics.
9 years of coding experience
11 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at Aarhus University
Primary focus: Electronics engineering & natural sciences., Primary focus: Electronics engineering & natural sciences. at HTX Silkeborg
Atomic/Molecular Physics, Atomic/Molecular Physics at Kansas State University
Nørrevangskolen Silkeborg