dataforgoodfr/13_potentiel_solaire
Feb 2025 – Mar 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisData CleaningData RetrievalData VisualizationGeospatial Analysis
Noémie Chardin
PROFILE
Noémie Chardin
Noémie Chardin enhanced the dataforgoodfr/13_potentiel_solaire repository by developing and refining Jupyter Notebook workflows for rooftop solar potential analysis. She introduced a roof segmentation notebook and improved segmentation visualizations, integrating elevation data retrieval to enable calculations of slope, azimuth, and surface area. Using Python, Pandas, and Geopandas, Noémie consolidated and cleaned the analysis pipeline, removed obsolete processing steps, and updated documentation to reflect the new workflow. Her work improved data access, visualization, and reproducibility, reducing time-to-insight for solar assessments. The depth of her contributions strengthened the repository’s maintainability and supported more accurate, actionable solar deployment decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
2
Lines of code
3,774
Activity Months2
Your Network
18 peopleWork History
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for dataforgoodfr/13_potentiel_solaire: Delivered enhancements to the solar potential roof segmentation tooling (segmentation_toits) and workflow, consolidating notebook workflows, updating the segmentation pipeline, and refining data outputs. Implemented slope, azimuth, and surface area calculations from elevation data, removed obsolete azimuth binning, and refreshed notebooks/docs to reflect the updated segmentation pipeline, including final-segments visualization and updated roof attributes.
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for dataforgoodfr/13_potentiel_solaire: Delivered enhancements to the solar potential roof segmentation tooling (segmentation_toits) and workflow, consolidating notebook workflows, updating the segmentation pipeline, and refining data outputs. Implemented slope, azimuth, and surface area calculations from elevation data, removed obsolete azimuth binning, and refreshed notebooks/docs to reflect the updated segmentation pipeline, including final-segments visualization and updated roof attributes.
March 2025
February 2025
5 Commits • 1 Features
Feb 1, 2025February 2025: Key notebook enhancements delivered in dataforgoodfr/13_potentiel_solaire, elevating data access, visualization, and workflow for solar potential analysis. Introduced roof segmentation notebook, improved segmentation visualizations, and added elevation data retrieval. Performed essential maintenance (tile path fix, cleanup) to improve reliability and reproducibility of analyses. These changes reduce time-to-insight for solar potential assessments and strengthen decision-support for rooftop solar deployment.
February 2025
5 Commits • 1 Features
Feb 1, 2025February 2025: Key notebook enhancements delivered in dataforgoodfr/13_potentiel_solaire, elevating data access, visualization, and workflow for solar potential analysis. Introduced roof segmentation notebook, improved segmentation visualizations, and added elevation data retrieval. Performed essential maintenance (tile path fix, cleanup) to improve reliability and reproducibility of analyses. These changes reduce time-to-insight for solar potential assessments and strengthen decision-support for rooftop solar deployment.
Activity
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Quality Metrics
Correctness80.0%
Maintainability82.8%
Architecture77.2%
Performance71.4%
AI Usage22.8%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationAlgorithm DevelopmentData AnalysisData CleaningData RetrievalData VisualizationDocumentationGeopandasGeospatial AnalysisGeospatial DataGeospatial Data ProcessingImage ProcessingImage SegmentationJupyter NotebookJupyter Notebooks
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