dataforgoodfr/13_potentiel_solaire
Feb 2025 – Apr 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData EngineeringData VisualizationDatabase ManagementGeoPandasGeospatial Analysis
Baptiste Darnala
PROFILE
Baptiste Darnala
During a two-month period, Darnala B. developed and integrated two core features for the dataforgoodfr/13_potentiel_solaire repository, focusing on geospatial data analysis and validation. They built a Jupyter notebook to analyze and visualize classified buildings in Saint-Denis, leveraging the BDTOPO dataset and GeoPandas to enhance protected-zone tagging for educational facilities. Additionally, Darnala implemented a Surface Area Accuracy Validation Notebook, comparing MNS-derived surface area calculations with project approximations using Python and statistical analysis. Their work established reproducible workflows for data validation and improved the reliability of building classification, supporting risk-aware planning and more accurate solar potential assessments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
13,042
Activity Months2
Your Network
18 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025Implemented a Surface Area Accuracy Validation Notebook to validate usable surface area calculations by comparing MNS data with the project approximation, including data visualization and statistical analysis to quantify accuracy and guide parameter tuning.
1 Commits • 1 Features
Apr 1, 2025Implemented a Surface Area Accuracy Validation Notebook to validate usable surface area calculations by comparing MNS data with the project approximation, including data visualization and statistical analysis to quantify accuracy and guide parameter tuning.
April 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered Saint‑Denis building analysis and protected-zone tagging in dataforgoodfr/13_potentiel_solaire. Consolidated two commits into a cohesive feature: (1) a new Jupyter notebook for analyzing classified buildings and visualizing educational facility zones using the BDTOPO dataset; (2) data retrieval and processing for protected buildings, including a tag to detect if a school lies within a protected zone, thereby enhancing classification by protection status and school designation. Minor data-pipeline cleanups improved data flow and tagging reliability. No major bugs reported.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered Saint‑Denis building analysis and protected-zone tagging in dataforgoodfr/13_potentiel_solaire. Consolidated two commits into a cohesive feature: (1) a new Jupyter notebook for analyzing classified buildings and visualizing educational facility zones using the BDTOPO dataset; (2) data retrieval and processing for protected buildings, including a tag to detect if a school lies within a protected zone, thereby enhancing classification by protection status and school designation. Minor data-pipeline cleanups improved data flow and tagging reliability. No major bugs reported.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData EngineeringData VisualizationDatabase ManagementGeoPandasGeospatial AnalysisJupyter NotebookPythondata analysisdata visualizationgeospatial analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline