Chameleon-company/MOP-Code
Apr 2025 – May 2025
2 Months active
Languages Used
PythonSQLCSSHTMLJSONipynb
Technical Skills
API IntegrationData AnalysisData CleaningData VisualizationFeature EngineeringFolium
Harsh Dwivedi
PROFILE
Harsh Dwivedi
Harshinfinity09 developed a suite of analytics and asset management features for the Chameleon-company/MOP-Code repository over two months, focusing on urban microclimate and sustainability use cases. They built end-to-end Jupyter Notebooks for spatial analysis, correlating microclimate data with pedestrian activity, and implemented robust data loading, cleaning, and feature engineering workflows using Python and Pandas. Their work included restructuring project directories for maintainability, managing licensing assets, and reorganizing files to align with evolving focus groups. By integrating tools like Folium and Scikit-learn, Harshinfinity09 delivered reproducible, data-driven workflows that improved project clarity, scalability, and the foundation for urban analytics reporting.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
6
Lines of code
118,208
Activity Months2
Your Network
98 people
Work History
May 2025
10 Commits • 5 Features
May 1, 2025May 2025 (2025-05) monthly summary highlighting key features delivered, major improvements, overall impact, and demonstrated technical skills. No explicit major bugs recorded for this period; focus was on asset lifecycle management, restructuring for improved discoverability, analytics notebook development, and project hygiene. Business value centers on maintainability, scalable analytics, and clearer alignment with Focus Groups across datasets and use cases.
10 Commits • 5 Features
May 1, 2025May 2025 (2025-05) monthly summary highlighting key features delivered, major improvements, overall impact, and demonstrated technical skills. No explicit major bugs recorded for this period; focus was on asset lifecycle management, restructuring for improved discoverability, analytics notebook development, and project hygiene. Business value centers on maintainability, scalable analytics, and clearer alignment with Focus Groups across datasets and use cases.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 Summary: Delivered the Urban Microclimate Analysis Notebook for MOP-Code, establishing an end-to-end workflow to correlate microclimate data with pedestrian activity. This includes data loading, cleaning, feature engineering, data integration steps, and advanced spatial analysis and visualization of urban heat island effects. No major bugs fixed this month. Impact: provides a reproducible, data-driven foundation for urban analytics, informing design decisions and stakeholder reports. Technologies demonstrated: Python, Jupyter, data processing, GIS/spatial analysis, visualization, and Git version control.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 Summary: Delivered the Urban Microclimate Analysis Notebook for MOP-Code, establishing an end-to-end workflow to correlate microclimate data with pedestrian activity. This includes data loading, cleaning, feature engineering, data integration steps, and advanced spatial analysis and visualization of urban heat island effects. No major bugs fixed this month. Impact: provides a reproducible, data-driven foundation for urban analytics, informing design decisions and stakeholder reports. Technologies demonstrated: Python, Jupyter, data processing, GIS/spatial analysis, visualization, and Git version control.
Activity
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Quality Metrics
Correctness92.8%
Maintainability92.8%
Architecture89.0%
Performance92.8%
AI Usage27.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONPythonSQLipynb
Technical Skills
API IntegrationCode OrganizationData AnalysisData CleaningData IntegrationData VisualizationDirectory Structure OrganizationFeature EngineeringFile ManagementFile System ManagementFoliumJupyter NotebookMachine LearningMatplotlibNumPy
Repositories Contributed To
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