Victor Boulanger is a Data Scientist with nine years of experience applying machine learning and time-series modeling across industry and research, currently driving projects at Roche in Zurich. He blends academic rigor from EPFL and Université Claude Bernard Lyon 1 with hands-on R&D experience building production ML models, anomaly-detection libraries, and even a Python blockchain during earlier roles. His background spans energy optimization, industrial analytics, and healthcare, reflecting a knack for turning complex temporal data into actionable solutions. Comfortable moving between research and product engineering, he has repeatedly shipped prototypes to production and contributed to data science initiatives at top Swiss institutions. Colleagues describe him as a pragmatic problem-solver who pairs strong mathematical foundations with practical software craftsmanship.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science - Big Data Analytics, Cloud Computing, Machine Learning, Master's degree, Data Science - Big Data Analytics, Cloud Computing, Machine Learning at Université Claude Bernard Lyon 1
L3 Actuarial - Mathematics Mention, Mathematics, programming, economy, L3 Actuarial - Mathematics Mention, Mathematics, programming, economy at Institut de Science Financière et d'Assurances (I.S.F.A)
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