Jean Prouvost
About Jean Prouvost
Jean Prouvost is a Senior Data Scientist at Sia Partners, where he has worked since 2016. He specializes in probabilistic calculations for construction projects and has a background in engineering and data analysis.
Work at Sia Partners
Jean Prouvost has been employed at Sia Partners as a Senior Data Scientist since 2016. In this role, he has focused on various data-driven projects, including conducting probabilistic calculations of bad weather days for construction sites, specifically for Vinci Immobilier. His work involves analyzing location and phase duration to support project planning and execution.
Education and Expertise
Jean Prouvost studied at Ecole Centrale Paris, where he earned a Master of Science (MS) in Engineering from 2012 to 2016. Prior to that, he completed his French Scientific Baccalaureate with High Honors at Lycée Français Charles de Gaulle in London from 2008 to 2010. He also attended Collège Stanislas, where he completed preparatory classes for the Grandes Ecoles, focusing on Mathematics and Physics from 2010 to 2012.
Background
Before his current position, Jean Prouvost gained experience in various roles. He worked as an R&D Intern at EDF for five months in 2014-2015. He also served as a Warehouse Worker at Air Liquide for one month in 2013 and as a Research Intern at Energeia in Sydney for six months in 2015. His diverse background has contributed to his expertise in data science and engineering.
Achievements
Jean Prouvost has contributed to several significant projects throughout his career. He developed a forecasting platform for ENEXIS to estimate grid losses three years in advance using machine learning models. He also created a construction site costs and delays estimation platform for Vinci Immobilier, which aids Real Estate Technical Directors. Additionally, he established a shared database of prices and construction rates for Vinci Immobilier to assist in calculating upstream costs and delays.
Technical Projects and Contributions
Jean Prouvost has worked on various technical projects that demonstrate his skills in data science and engineering. He handled national forecasts on SYPEL for Enedis, predicting electricity leaks on the grid. He performed impact analysis for ENEDIS on the RECOFLUX system using daily Linky smart meter data. Furthermore, he implemented and maintained a platform for Enedis, focusing on RESTful API, database management, and web design.