
Worked on the dataforgoodfr/13_potentiel_solaire repository to deliver reproducible geospatial data workflows supporting solar potential analytics and policy development. Developed notebook-based pipelines in Python and Jupyter Notebook for extracting, cleaning, and visualizing geospatial datasets, including generating a reference GeoPackage for Saint Denis. Enhanced data integration by incorporating cadastral PCI/BDPCI sources, improving extraction flows, and refining data visualization and storage. Focused on maintainability through robust file handling and directory management. Additionally, contributed to phospho-app/phosphobot by improving documentation accuracy, specifically correcting model card text in generated READMEs, demonstrating attention to detail and commitment to documentation quality and CI hygiene.
June 2025 monthly summary for phospho-app/phosphobot: Focused on documentation quality and accuracy rather than feature delivery this month. No new features shipped; the primary effort was a targeted bug fix to improve the correctness of the model card text used in generated READMEs. All work aligned with business value by ensuring clear, accurate representation of training outcomes.
June 2025 monthly summary for phospho-app/phosphobot: Focused on documentation quality and accuracy rather than feature delivery this month. No new features shipped; the primary effort was a targeted bug fix to improve the correctness of the model card text used in generated READMEs. All work aligned with business value by ensuring clear, accurate representation of training outcomes.
February 2025 monthly summary for dataforgoodfr/13_potentiel_solaire. Focused on delivering reproducible, geospatial data workflows and robust data integration to accelerate solar potential analytics and policy support. shipped end-to-end data extraction for Saint Denis, enhanced the solar potential data pipeline, integrated cadastral PCI/BDPCI data extraction into notebooks, and strengthened reliability and maintainability of data pipelines and assets.
February 2025 monthly summary for dataforgoodfr/13_potentiel_solaire. Focused on delivering reproducible, geospatial data workflows and robust data integration to accelerate solar potential analytics and policy support. shipped end-to-end data extraction for Saint Denis, enhanced the solar potential data pipeline, integrated cadastral PCI/BDPCI data extraction into notebooks, and strengthened reliability and maintainability of data pipelines and assets.

Overview of all repositories you've contributed to across your timeline