Summary
Cahit Dalgicdir is a Senior Data Scientist based in Darmstadt with 15 years of experience applying statistical modeling, numerical methods, and scientific programming to industrial and research problems. Currently at Daimler Truck AG he builds automated finance solutions with machine learning, drawing on prior data science roles across Daimler Buses, EvoBus and consulting at OSB AG. His background includes a PhD in Computational Science and hands-on research developing atomistic and coarse-grained simulations for polymers and proteins, giving him uncommon depth in physical modeling and simulation-informed feature engineering. He has a strong track record supervising students and translating complex computational techniques into practical production systems. Colleagues rely on him to bridge rigorous research methods with robust ML deployments in regulated, high-stakes engineering environments.
15 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Science, Doctor of Philosophy (PhD), Computational Science at Koç Üniversitesi
BS, MS, Materials Science and Engineering, BS, MS, Materials Science and Engineering at Sabanci University