Summary
Anders Lassen is a data scientist based in Copenhagen with 10 years of experience applying data-driven solutions to complex problems across logistics and enterprise IT. Currently at DSV, he transitioned from an IT Graduate rotation—covering Data Science, Software Engineering and DevSecOps—into a full Data Scientist role, giving him a rare end-to-end view of production ML and infrastructure. He holds an MSc in Human-Centered Artificial Intelligence from DTU and a BEng in Robotics, combining technical rigor with a focus on usable, human-aware AI. Anders excels at translating operational challenges in transport and logistics into measurable analytical projects that integrate well with engineering and security practices. Colleagues rely on him to bridge research-minded modeling with pragmatic deployment constraints, ensuring solutions are both accurate and operationally resilient. He brings a systems-level perspective that often uncovers non-obvious process improvements beyond pure model performance.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (BEng), Robotics, Bachelor of Engineering (BEng), Robotics at Det Tekniske Fakultet, Syddansk Universitet
Technical University of Denmark