Corentin Lonjarret
Data Scientist
Lyon, Auvergne-Rhône-Alpes, Canada
Summary
👤
Senior🎓
Top SchoolCorentin Lonjarret is a data scientist with a PhD in computer science and a decade of experience applying AI and machine learning to real-world problems across media, sustainability, and energy sectors. He developed REBUS during his thesis to unify user preferences and sequential behavior for recommendation systems, and has productionized recommendation and anomaly-detection pipelines in industry roles. As AI Lead at The Green Link he built zero-shot text classifiers, web scrapers, and a Bubble.io app to help companies with ecological transition, demonstrating a rare mix of research rigor and product-focused delivery. Now at CBC/Radio-Canada he brings that blend of academic depth and practical engineering to media data challenges from Lyon, combining modeling, deployment, and clear communication of complex results.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer science, Bachelor's degree, Computer science at Université Claude Bernard Lyon 1DUT, Information Technology, DUT, Information Technology at IUT de DijonPh.D. in Computer Science, Informatique, Ph.D. in Computer Science, Informatique at INSA Lyon - Institut National des Sciences Appliquées de Lyon
French, EnglishGithub contributions (4)
CorentinLonjarret/REBUS
Dec 2020 - Mar 2021
Contributions:8 commits, 7 pushes, 1 branch in 3 months
visiativ-innovation/recommendation
Oct 2018 - Aug 2020
Contributions:4 pushes in 1 year 9 months
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