Summary
Oliver Poole is a data scientist with 12 years of experience blending academic rigor from ETH Zürich with practical ML and computer vision deployments across industry. He has driven production-ready models for anomaly and object detection at RUAG and Thermoplan, and now contributes to applied research and collaborative projects at the Swiss Data Science Center. Comfortable coding in C++ and Python, he has supported multiscale modelling and advanced thesis supervision at HSLU, bridging research, engineering and mentorship. Trained as a mechanical engineer with additional humanities study in popular culture, he brings an uncommon mix of domain intuition and human-centered thinking to data problems. Based in Schwyz, Switzerland, he favors turning complex datasets into actionable product and research outcomes, often focusing on robust, deployable solutions rather than purely experimental prototypes.
12 years of coding experience
5 years of employment as a software developer
Matura Applied Mathematics and Physics, Matura Applied Mathematics and Physics at Kanti Glarus
Bachelor of Arts - BA Popular Culture, Bachelor of Arts - BA Popular Culture at University of Zurich
Master of Science - MSc Mechanical Engineering, Master of Science - MSc Mechanical Engineering at ETH Zürich
High School Diploma Japanese, High School Diploma Japanese at Onomichi Higashi Senior High School
Japanese, Swedish, English, German, French, Portuguese