dataforgoodfr/13_potentiel_solaire
Feb 2025 – Feb 2025
1 Month active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
API IntegrationBackend DevelopmentData AnalysisData CleaningData EngineeringData Extraction
chmadran
PROFILE
Chmadran
Charlotte Madrangeas developed reproducible geospatial data workflows for the dataforgoodfr/13_potentiel_solaire repository, focusing on end-to-end data extraction, cleaning, and visualization for solar potential analytics. She integrated cadastral PCI/BDPCI data into Jupyter Notebooks, enhancing the pipeline’s reliability and maintainability through improved file handling and directory management. Using Python, GeoPandas, and regular expressions, Charlotte automated geospatial data processing and ensured reference datasets were available for downstream algorithms. In the phospho-app/phosphobot repository, she prioritized documentation quality by correcting model card content, demonstrating attention to detail and commitment to clear communication. Her work reflects depth in data engineering and documentation.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
20Total
Bugs
1
Commits
20
Features
4
Lines of code
1,965
Activity Months2
Your Network
35 people
Work History
June 2025
1 Commits
Jun 1, 2025June 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.
1 Commits
Jun 1, 2025June 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
February 2025
19 Commits • 4 Features
Feb 1, 2025February 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
19 Commits • 4 Features
Feb 1, 2025February 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.
Activity
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Quality Metrics
Correctness88.0%
Maintainability87.0%
Architecture80.0%
Performance77.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
API IntegrationBackend DevelopmentData AnalysisData CleaningData EngineeringData ExtractionData ProcessingData StorageData VisualizationDocumentationFile HandlingFile ManagementFile System OperationsGeoPandasGeospatial Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
phospho-app/phosphobot
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Documentation