Karl-Philipp Kortmann is a Lead Data Science & Analytics professional based in Hanover, Germany, with nine years of experience bridging mechanical engineering research and applied data science. He progressed from hands-on experimental work at DLR and academic research leadership at Leibniz Universität Hannover to senior and now lead data science roles at aiomatic, bringing a strong control/identification and systems background to ML-driven projects. His training in mechanical engineering (BSc/MS) and PhD-level research orientation enable him to translate complex physical systems into actionable analytics and robust models. Known for building test benches and research groups, he combines experimental rigor with production-focused analytics—an uncommon blend that helps ensure models are both explainable and deployable. He thrives at the intersection of academia and industry, accelerating product impact by turning lab-grade methods into scalable solutions. Based in Lower Saxony, he emphasizes reproducibility and control-theoretic insight in data science initiatives.
9 years of coding experience
Master of Science - MS, Maschinenbau, Master of Science - MS, Maschinenbau at Leibniz Universität Hannover
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Karl-philipp Kortmann - Lead Data Science & Analytics