Summary
Franziska Paron is a data scientist based in Switzerland with 11 years of professional experience and 3+ years focused on applied R&D in machine learning and computer vision. She brings a strong theoretical foundation from a mathematics education (B.Sc. and M.Sc.) combined with practical research and engineering roles at institutions like EPFL, Fraunhofer/Nanyang Technological University, and Esri. Her background spans academic research, stealth-mode AI startup work, and production-oriented data science, giving her a rare mix of pure-math intuition (geometry and algebra) and hands-on system-building. At Esri she transitioned from intern to data scientist, signaling an ability to turn research prototypes into impactful products. Fluent in cross-cultural environments after studies in China and Germany, she often bridges theoretical models and real-world geospatial applications.
11 years of coding experience
3 years of employment as a software developer
Abitur - high school diploma, 1.8 - good, Abitur - high school diploma, 1.8 - good at Immanuel Kant Gymnasium Berlin
Bachelor of Science (B.Sc.), Mathematik, Bachelor of Science (B.Sc.), Mathematik at Technische Universität Berlin
Master of Literature, China studies, Master of Literature, China studies at Zhejiang University
French, Chinese, English, German