Summary
Tanja Hagemann is a Senior Data Scientist with 12 years of experience who blends mathematical rigor and hands-on machine learning to build operational AI and data products across public sector, telecom, and supply chain domains. She has led end-to-end projects—from R&D on adversarial learning, fairness, and explainability at T‑Labs to delivering an operational supply-chain product at Deutsche Bahn and establishing a data lab and LLM-driven policy tools at BMZ. Comfortable in both research and product settings, she drives cross-functional teams with Scrum, strong stakeholder management, and MLOps-aware rollout planning. An automation- and Linux-oriented software engineer at heart, she pairs deep theoretical knowledge (manifold learning, time series, deep nets) with practical data engineering skills (Spark, TensorFlow, SQL) to move prototypes into production. Notably, she has navigated sensitive political and operational contexts to make AI explainable and user-centered for real-world decision makers.
12 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Mathematik, 1,6, Master of Science (M.Sc.), Mathematik, 1,6 at Bergische Universität Wuppertal
German, English, French, Spanish