Jean-françois Zinque is a data scientist with nine years of hands-on experience applying software engineering and AI to the video-game industry, currently based in Bordeaux. He has led data teams and built production analytics platforms on AWS, shipping ML continuous-delivery pipelines and automated feature engineering at scale for live games. His work spans player-level LTV modeling, campaign forecasting via meta-learning ensembles, and building self-service data stores that accelerate product iteration. A pragmatic engineer, he also contributes to open-source tooling—improving robustness and developer workflows in projects like pandera—and has founded an indie mobile games studio, giving him rare product-to-analytics empathy.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, High distinction (magna cum laude), Bachelor's degree, Computer Science, High distinction (magna cum laude) at Facultés universitaires 'Notre-Dame de la Paix'
Master of Science (MSc), Intelligent Autonomous Systems, Merit, Master of Science (MSc), Intelligent Autonomous Systems, Merit at University of Wales, Aberystwyth
Bachelor's degree, Management Information Technology, Distinction (cum laude), Bachelor's degree, Management Information Technology, Distinction (cum laude) at Haute École de Namur-Liège-Luxembourg Hénallux
Exchange program ERASMUS, Computer/Information Technology Administration and Management, Exchange program ERASMUS, Computer/Information Technology Administration and Management at Högskolan i Halmstad
A light-weight, flexible, and expressive statistical data testing library
Role in this project:
Back-end Developer
Contributions:56 reviews, 22 commits, 54 PRs in 1 year 9 months
Contributions summary:Jean-françois primarily focused on improving the `pandera` library's functionality and maintainability. They addressed optional dependency issues and missing typing dependencies, ensuring the library's robustness. They also significantly improved the pre-commit hooks by upgrading versions, adding sanity checks, and integrating `black` and `isort` for code formatting. Furthermore, they added support for features like aliases in SchemaModels.
Contributions:2 PRs, 66 pushes, 1 branch in 1 year 9 months
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