Guillaume Vignal
Data Scientist
Niort, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolGuillaume Vignal is a data scientist with over 20 years in the insurance sector and seven years focused on applied data science, statistics and actuarial work. He builds machine-learning products at MAIF that translate complex models into actionable improvements for internal and external clients while emphasizing explainability and trust. A former software engineer and actuary, he brings production-grade engineering skills (C/C++, large legacy systems) together with statistical rigor for forecasting, fraud detection, NLP and time-series work. He co-maintains two notable open-source projects—shapash for model interpretability and eurybia for drift detection—illustrating his commitment to transparent, deployable ML. Based in Niort, France, he often bridges the gap between technical teams and business stakeholders, turning mathematical insight into practical, customer-facing solutions.
7 years of coding experience
14 years of employment as a software developer
DEUTS d'Actuariat, Actuariat, DEUTS d'Actuariat, Actuariat at Université Pierre et Marie Curie (Paris VI)Bachelor's degree, voie générale - Scientifique spé Math, Bachelor's degree, voie générale - Scientifique spé Math at Lycée Emile DuclauxIngénieur en Informatique, Mathématiques et informatique, Ingénieur en Informatique, Mathématiques et informatique at ISIMA - Clermont Auvergne INPActuaire, Actuariat, Actuaire, Actuariat at CEAMaster's degree, Imagerie Médicale, DEA, Master's degree, Imagerie Médicale, DEA at Université Blaise Pascal (Clermont-II) - Clermont-Ferrand
English, French, Spanish, Italian
Github Skills (58)
xai10
shap10
python10
machine-learning-models10
lime10
machine-learning10
interpretable-machine-learning10
transparency10
iml10
data-science9
monitors9
deep-learning9
morris8
data-validation7
openstreetmap7
Programming languages (3)
Github contributions (5)
guillaume-vignal/shapash
Jan 2021 - Mar 2025
Shapash makes Machine Learning models transparent and understandable by everyone
Contributions:1 PR, 115 pushes, 52 branches in 4 years 2 months
fairness-mlpythontransparentdata-sciencedeep-learning
guillaume-vignal/sensitivity
Feb 2021 - Feb 2021
Contributions:4 pushes, 1 branch in 7 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.