Samuel Berrien

Data Scientist

Paris, Ile-de-France
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Summary

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Senior
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Top School
Samuel Berrien is a Data Scientist based in Paris with 10 years of experience applying machine learning and natural language processing to real-world problems. He has moved from a thesis-linked internship on multi-agent systems and document retrieval at Société Générale to consulting roles at SCIAM and now leads data science work at CortAIx Factory. Trained at Université Paris-Saclay with top honors, he builds deep learning models grounded in scientific literature and enjoys searching academic solutions to practical engineering challenges. Fluent in French and comfortable bridging research and production, he also maintains an active GitHub (Ipsedo) that reflects his interest in reproducible, research-driven code.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster 2 AIC, Computer Science, Mention très bien, Master 2 AIC, Computer Science, Mention très bien at Université Paris-Saclay
bookLicence, Computer Science, Mention bien, Licence, Computer Science, Mention bien at Université Paris-Sud
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Stackoverflow

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Github Skills (40)

pytorch10
classification10
image-classification10
multi-agent10
iterative10
bullet10
reinforcement-learning10
robot10
libtorch10
actor-critic10
bullet-physics9
reproducible-research9
agent9
deep-learning9
music9

Programming languages (4)

C++OCamlJupyter NotebookPython

Github contributions (5)

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Ipsedo/Spectrix

Feb 2017 - May 2022

Contributions:264 commits, 68 pushes, 1 branch in 5 years 4 months
Ipsedo/OdySpace

Nov 2017 - May 2022

Contributions:51 pushes in 4 years 7 months
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