Summary
Soren Heinze is a data scientist and physicist-by-heart with eight years of experience turning complex experimental and administrative datasets into actionable insights for industry and government. He combines high-level expertise in Python, finite element analysis and multi-sensor measurement techniques with hands-on “full stack” data work—building ML/AI tools, automated acquisition systems and practical models to improve public services. His background includes PhD-level research in materials and polymer curing, leading cleanroom operations, and developing deepwater composite materials, giving him rare fluency across simulation, lab instrumentation and process implementation. Trilingual in German, English and Norwegian, he pairs methodical, pragmatic problem-solving with a knack for educating colleagues and making technical results accessible to stakeholders. An avid coder and lifelong learner, he balances rigorous scientific thinking with a practical drive to deploy robust, repeatable solutions.
8 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD (Dr. rer. nat. in german), Physics, magna cum laude, Doctor of Philosophy - PhD (Dr. rer. nat. in german), Physics, magna cum laude at Otto-von-Guericke University Magdeburg
Norwegian University of Science and Technology
German, English, Norwegian