Pierre-edouard Portier
Data Manager
Lyon, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolPierre-Edouard Portier is a data manager and former associate professor with over a decade of academic leadership at INSA Lyon, where he focused on machine learning, semantic web, information retrieval and document engineering. He has transitioned into industry data roles, recently serving as Lead Data Scientist and now Data Manager at Caisse d'Epargne Rhône Alpes, bringing research-grade rigor to production analytics like anomaly detection, crash prediction and traffic forecasting. His work centers on explainable machine learning and the integration of discovered knowledge into data pipelines, bridging the gap between interpretable models and operational systems. Pierre-Edouard combines deep NLP and semantic-web expertise with practical experience managing cross-institutional digital services and university-industry relations. He holds a doctorate in computer science and has a track record of translating humanities-scale document structuring research into scalable analytics. Colleagues describe him as someone who pairs theoretical depth with a pragmatic drive to make models auditable and useful in real-world banking contexts.
8 years of coding experience
2 years of employment as a software developer
Research Doctorate, Computer Science, Research Doctorate, Computer Science at Institut national des Sciences appliquées de Lyon
English
Github Skills (4)
iterative6
machine-learning2
deep-learning2
pytorch2
Programming languages (1)
Github contributions (5)
peportier/jGMM
Dec 2017 - Jan 2018
Contributions:25 commits, 23 pushes, 1 branch in 1 month
peportier/ia05-heuristics
Jan 2018 - Mar 2020
Contributions:12 pushes, 1 branch in 2 years 2 months
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