Summary
Daniel Kirsch is a Senior Data Scientist with 17 years of experience applying mathematics, machine learning, and software engineering to turn complex data into actionable products. Based in Ludwigshafen, he has led data and visualization efforts across startups and ventures—from building smart-meter pipelines and NILM analytics to prototyping fintech and telco backends—while shipping production ML systems at Billie since 2018. He combines deep mathematical training (Diplom in Mathematics and Computer Science) with hands-on skills in Python, Rails, frontend visualizations (D3/Angular), and DevOps practices, enabling him to translate business needs into robust technical solutions. Known for building things "from pure thought," Daniel often bridges research-grade algorithms and pragmatic engineering, and his background includes shaping team practices like TDD/BDD, code review, and mentorship programs.
17 years of coding experience
7 years of employment as a software developer
Diplom, Mathematik, Informatik, 1,5, Diplom, Mathematik, Informatik, 1,5 at Westfälische Wilhelms-Universität Münster
German, English