Summary
Emanuel Ramneantu is a Junior Data Scientist based in Munich with eight years of experience grounded in rigorous academic training from the Technical University of Munich (B.Sc. 1.6, M.Sc. 1.4). He brings hands-on research experience—co-authoring papers on algorithms for stochastic games and contributing to an online learning platform (Automata Tutor v3)—and now applies that algorithmic mindset to data science at TWT GmbH Science & Innovation. Comfortable bridging theory and practice, he has a strong foundation in algorithm implementation, benchmarking, and building education-focused software. Emanuel's profile reflects a blend of research curiosity and industry pragmatism, making him adept at translating complex models into actionable insights. An understated strength is his sustained engagement with academic projects that inform his practical approach to problem-solving in applied data settings.
8 years of coding experience
Bachelor's degree, Computer Science, 1.6, Bachelor's degree, Computer Science, 1.6 at Technical University of Munich