Guillaume Ansanay-alex
Chief Data Officer
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolGuillaume Ansanay-alex is a Chief Data Officer and founder with nine years of focused experience turning retail data into measurable business value across merchandising, marketing and supply chains. Based in Paris, he blends hands-on data science and engineering roots with strategic leadership—having led Franprix's data organization and now directing Fortuneo’s data roadmap within a SAFe, product-oriented model. He prioritizes ROI-driven product portfolios, builds cross-functional data-as-a-product teams, and champions self-service analytics and pragmatic data governance to democratize insights. Guillaume also advises data leaders through Partners in AI and brings rigorous engineering discipline from earlier R&D and scientific roles, including production-grade CI practices and numerical modelling. An active contributor to open-source testing for the high-performance HDBSCAN clustering library, he often focuses on test infrastructure and compatibility to improve long-term reliability. His profile combines academic depth in applied mathematics with a practical track record of embedding data into everyday retail decision-making.
9 years of coding experience
Ingénieur, Ingénieur at Centrale MéditerranéeFormation Le marketing stratégique de l'innovation technologique et des projets de R&D, Formation Le marketing stratégique de l'innovation technologique et des projets de R&D at CentraleSupélecDoctorat Mathématiques appliquées, Doctorat Mathématiques appliquées at Aix-Marseille University
English, French
Stackoverflow
73reputation
2kreached
0answers
1question
Github Skills (8)
scikit10
scikit-learn10
machine-learning-algorithms10
python10
clustering10
testing10
pytest9
machine-learning9
Programming languages (5)
Github contributions (5)
scikit-learn-contrib/hdbscan
Jan 2021 - Jan 2021
A high performance implementation of HDBSCAN clustering.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 2 PRs, 1 push in 1 day
Contributions summary:Guillaume primarily focused on improving the testing infrastructure and ensuring the quality of the HDBSCAN library. Their contributions included refactoring test utilities, replacing deprecated functions, and ensuring that all warnings were correctly triggered during testing. These changes enhanced the reliability and maintainability of the test suite, which is crucial for the project's ongoing development and validation. They updated tests to be compatible with newer scikit-learn versions and related updates.
clustering-evaluationk-meansmachine-learning-algorithmsmachine-learningclustering
gansanay/gansanay.github.io
Nov 2016 - Aug 2023
Personal page
Contributions:88 pushes, 8 branches in 6 years 9 months
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