dataforgoodfr/13_potentiel_solaire
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisGeoPandasGeospatial AnalysisJupyter NotebookMatplotlibPandas
Laurent Basara
PROFILE
Laurent Basara
During September 2025, Krasnikov developed a geospatial data quality analysis feature for the dataforgoodfr/13_potentiel_solaire repository, focusing on educational establishments. He created a reproducible workflow using Python and Jupyter Notebook, leveraging GeoPandas and Pandas to assess alignment between address data and building footprints. His approach included data loading, cleaning, distance calculations, and statistical summaries to quantify discrepancies between reported coordinates and actual building locations. The resulting framework enabled data-driven prioritization for remediation and improved trust in downstream geospatial analysis. Krasnikov’s work demonstrated depth in geospatial data engineering, providing a structured method to identify and address data quality issues.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
7,663
Activity Months1
Your Network
18 peopleWork History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 focused on delivering geospatial data quality insights for the dataforgoodfr/13_potentiel_solaire project. Delivered a reproducible workflow to assess alignment between address data and building footprints for educational establishments, enabling data-driven remediation prioritization and improved data trust for downstream analysis and decision making.
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 focused on delivering geospatial data quality insights for the dataforgoodfr/13_potentiel_solaire project. Delivered a reproducible workflow to assess alignment between address data and building footprints for educational establishments, enabling data-driven remediation prioritization and improved data trust for downstream analysis and decision making.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisGeoPandasGeospatial AnalysisJupyter NotebookMatplotlibPandasPython
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