Sebastien Bidault
Niort, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolSebastien Bidault is a French data scientist with five years of experience applying statistical modelling, machine learning and big data tooling to business problems. His background spans applied research in factor analysis, production-oriented ML and data preparation within Hadoop environments, plus hands-on reporting automation using VBA and SAS integration across many data sources. He has interned at MAIF and academic labs, combining rigorous simulation studies with practical scoring, segmentation and text-mining projects. Comfortable bridging research and production, he emphasizes documentation and reproducible workflows learned early in his career. Based in Niort, he brings a solid statistical education (DUT and Master) and a knack for turning complex datasets into actionable analytics.
5 years of coding experience
1 year of employment as a software developer
DUT STID - statistique et informatique décisionnelle, DUT STID - statistique et informatique décisionnelle at IUT Paris DescartesLicence, Mathématique Informatique Statistique - Spécialité statistique, Licence, Mathématique Informatique Statistique - Spécialité statistique at Université de Bretagne-Sud
Github Skills (16)
lime10
transparency10
iml10
xai10
machine-learning10
shap10
machine-learning-models10
python10
interpretable-machine-learning10
data-science9
deep-learning9
monitors8
drift6
validation6
data-validation6
Programming languages (1)
Github contributions (2)
MAIF/shapash
Feb 2021 - Jan 2023
đź”… Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Contributions:28 reviews, 15 commits, 13 PRs in 1 year 10 months
explainable-mlmachine-learning-modelsimlpythontransparent
MAIF/eurybia
Jul 2022 - Aug 2022
âš“ Eurybia monitors model drift over time and securizes model deployment with data validation
Contributions:6 reviews, 2 commits, 2 PRs in 29 days
pythonmodel-deploymentmodel-monitoringdriftmonitoring
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