Summary
Stefan Beuchert is a Data Scientist with eight years of experience blending machine learning, NLP, and software engineering to build explainable, production-ready solutions. He holds an M.Sc. in Data Science and has completed two thesis projects focused on NLP—one that distilled global insights from 2,000+ LIME explanations for a GELECTRA question-answering system and validated findings with a 100+ participant survey. Skilled in Python, object-oriented engineering, and both SQL and NoSQL databases, Stefan bridges rigorous research with pragmatic implementation. He has also researched AI standardization approaches at KPMG, advising on priorities across ISO, DIN, ANSI, and IEEE frameworks—an uncommon mix of technical depth and governance awareness. Based in Karlsruhe, Germany, he has a proven track record of turning complex text-mining and clustering problems into human-comprehensible results.
7 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Data Science, 1,42, Master of Science - MS, Data Science, 1,42 at Berliner Hochschule für Technik (BHT)
Bachelor of Applied Science - BASc, Business Information Systems, 1.7, Bachelor of Applied Science - BASc, Business Information Systems, 1.7 at Hochschule Karlsruhe (HKA) / University of Applied Sciences