Pierre Poulouin is a Data Scientist with eight years of technical experience who currently applies machine learning and data engineering skills at Puy du Fou to forecast attendance and streamline data pipelines. He combines practical cloud and tooling expertise (AWS, Qlik, DBeaver) with strong Python and SQL abilities developed through formal training at DataScientest and hands-on projects. His background spans software development and technical leadership—including a Technical Head role at T-Pop and Java development at BNP Paribas—giving him a rare mix of product, operational and analytics perspectives. Pierre excels at turning messy historical and contextual data into improved predictive models and production-ready ingestion workflows. He is continuously upskilling in scalable cloud architectures and large-volume data handling while balancing stakeholder communication and cross-team collaboration. Based in Angers, he brings a pragmatic, results-focused approach informed by both engineering discipline and operational process improvements.
7 years of coding experience
1 year of employment as a software developer
Licence pro finances Comptabilité et finance, Licence pro finances Comptabilité et finance at Université Polytechnique Hauts-de-France
Chef de projet en intelligence artificielle analyse de données, Chef de projet en intelligence artificielle analyse de données at DataScientest.com
Contributions:75 commits, 16 pushes, 7 branches in 1 month
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