Summary
Selam Woldetsadick is a data science mentor and machine learning engineer with 11 years of experience applying econometrics and statistics to real-world problems in the automotive sector. Based in Munich, she combines hands-on ADAS performance validation and big data delivery at BMW with mentoring data science students at Springboard. Her background spans research in microeconometrics, technical project management at Volkswagen, and applied data science at Alexander Thamm, giving her a rare mix of rigorous statistical training and production-focused ML engineering. Known for a playful SQL joke, she brings both technical depth in analytics and practical delivery experience for safety-critical systems. Fluent in translating complex models into validated, deployable solutions, she often bridges research, engineering, and teaching to accelerate team capability.
11 years of coding experience
2 years of employment as a software developer
First Degree, Econometrics and Quantitative Economics, Mention Bien, First Degree, Econometrics and Quantitative Economics, Mention Bien at University of Strasbourg
Baccalaureat, Filiere Scientifique, Mention, Baccalaureat, Filiere Scientifique, Mention at Lycee Guebre Mariam
English, French, German, Amharic