Summary
Manuel Buenestado is a Data Scientist based in Berlin with eight years of experience applying machine learning and analytical thinking to business problems across logistics and automotive sectors. Currently at Kuehne+Nagel, he builds data-driven solutions that bridge research-grade models and operational BI, drawing on prior roles at CarOnSale and Different Roads. Trained in physics and holding an MS in Data Science, he combines rigorous quantitative foundations with pragmatic engineering to deliver reproducible, production-ready workflows. Inquisitive by nature and guided by a hands-on learning philosophy, he favors building to understand complex systems end-to-end.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Universitat de València
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Johannes Gutenberg-Universität Mainz
German, English, Spanish