Pierre Nodet
Research Scientist at Orange
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPierre Nodet is a research scientist based in Paris with nine years of experience applying statistics and machine learning to real-world telecom problems, from churn prediction to fraud detection and weakly supervised learning. He holds a PhD in computer science from Université Paris-Saclay and an MS in statistics, pairing rigorous theory with production-minded data science at Orange across internships, staff roles, and doctoral research on biquality learning. Practically oriented, he has contributed to the well-known open-source Smile ML engine by improving dataset and Spark-module integration, reflecting a focus on trustworthy data and tooling. Curious about the limits of models trained on imperfect data, he brings a skeptical, empirical mindset to model reliability and pipeline robustness. He also quietly champions Scala as a powerful ML language, combining pragmatic engineering with long-term bets on the ecosystem.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Ecole nationale de la Statistique et de l'Analyse de l'InformationA-Levels with Honors, Mathematics, A-Levels with Honors, Mathematics at Notre-Dame Saint-SigisbertPreparatory Classes for Engineering Schools, Mathematics, Preparatory Classes for Engineering Schools, Mathematics at Lycée Henri PoincaréDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Paris-Saclay
English, French, Spanish, Chinese
Stackoverflow
66reputation
2kreached
1answer
0questions
Github Skills (12)
machine-learning10
data-science10
classification10
spark9
dataframes8
scala8
dataframe8
statistics7
apache-spark6
pyspark6
python6
ensemble-learning6
Programming languages (4)
Github contributions (5)
haifengl/smile
Oct 2020 - Nov 2020
Statistical Machine Intelligence & Learning Engine
Role in this project:
ML Engineer
ML EngineerContributions:17 reviews, 5 commits, 4 PRs in 16 days
Contributions summary:Pierre contributed to the "smile" repository, a machine learning engine, by adding a large dataset for testing purposes, specifically related to the "mushrooms" classification problem. Further contributions included adding headers, removing the scala version, and removing gitignore metals to several files within the Spark module. These changes suggest a focus on data and framework integration for the existing ML engine and project setup improvements.
orangepythonndarraymathematicamultidimensional-scaling
pierrenodet/PFE
Feb 2017 - Feb 2019
Contributions:44 commits, 36 pushes, 1 branch in 2 years
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