Chameleon-company/MOP-Code
Apr 2025 – Sep 2025
4 Months active
Languages Used
PythonSQLTextCSSCSVHTMLJSONJavaScript
Technical Skills
API IntegrationData AnalysisData VisualizationFile ManagementJupyter NotebookMatplotlib
Nidhi-kanchepalle
PROFILE
Nidhi-kanchepalle
Nidhi Kanchepalle contributed to the Chameleon-company/MOP-Code repository by developing analytics features and maintaining repository hygiene over a four-month period. She built data analysis workflows, including community wellbeing and pedestrian movement studies, using Python, Jupyter Notebooks, and libraries such as Pandas and Seaborn. Her work involved integrating multiple APIs, cleaning and visualizing urban planning datasets, and preparing reproducible notebooks for policy analysis. Nidhi also improved repository structure by removing deprecated archives, enhancing documentation, and streamlining upload workflows. The depth of her contributions is reflected in robust data pipelines, clear documentation, and scalable analytics assets that support ongoing urban data initiatives.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
42Total
Bugs
1
Commits
42
Features
9
Lines of code
197,644
Activity Months4
Your Network
98 people
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Chameleon-company/MOP-Code focusing on Pedestrian Activity Analytics Improvements and data assets for UC00191.
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Chameleon-company/MOP-Code focusing on Pedestrian Activity Analytics Improvements and data assets for UC00191.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Chameleon-company/MOP-Code: Delivered Melbourne Pedestrian Movement Analysis feature involving ingestion from multiple APIs, data cleaning, and exploratory data analysis to understand pedestrian movement patterns and set up for spatial footpath analysis. Created initial visualizations and prepared data pipelines for downstream spatial workflows. The Sprint1 review artifact was uploaded (commit ed7b30d8e6649e0de550a11764e63efb754259cf).
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Chameleon-company/MOP-Code: Delivered Melbourne Pedestrian Movement Analysis feature involving ingestion from multiple APIs, data cleaning, and exploratory data analysis to understand pedestrian movement patterns and set up for spatial footpath analysis. Created initial visualizations and prepared data pipelines for downstream spatial workflows. The Sprint1 review artifact was uploaded (commit ed7b30d8e6649e0de550a11764e63efb754259cf).
May 2025
36 Commits • 5 Features
May 1, 2025May 2025: Focused on repository hygiene, maintenance, and enabling usecase workflows for the 2025 batch in MOP-Code. This month delivered extensive archive cleanup to remove legacy and deprecated content, completed the Usecase Upload feature, added essential documentation, and finalized publishing of the 2025 usecases. The work reduced repo clutter, lowered maintenance risk, and prepared the codebase for scalable collaboration.
36 Commits • 5 Features
May 1, 2025May 2025: Focused on repository hygiene, maintenance, and enabling usecase workflows for the 2025 batch in MOP-Code. This month delivered extensive archive cleanup to remove legacy and deprecated content, completed the Usecase Upload feature, added essential documentation, and finalized publishing of the 2025 usecases. The work reduced repo clutter, lowered maintenance risk, and prepared the codebase for scalable collaboration.
May 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 highlights two substantive contributions in Chameleon-company/MOP-Code that elevate testing quality and data-driven decision making. The month centers on building reliable development scaffolds and enabling analytical insights for policy refinement, with a clear path to reproducible workflows and scalable analytics.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 highlights two substantive contributions in Chameleon-company/MOP-Code that elevate testing quality and data-driven decision making. The month centers on building reliable development scaffolds and enabling analytical insights for policy refinement, with a clear path to reproducible workflows and scalable analytics.
Activity
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Quality Metrics
Correctness96.4%
Maintainability96.2%
Architecture96.2%
Performance96.2%
AI Usage26.0%
Skills & Technologies
Programming Languages
CSSCSVHTMLJSONJavaScriptJupyter NotebookPower BIPythonSQLText
Technical Skills
API IntegrationArchived Project RemovalCSSCode CleanupCodebase MaintenanceCommunity Impact AnalysisData AnalysisData ArchivingData CleaningData ExtractionData IngestionData ManagementData ScienceData VisualizationData Wrangling
Repositories Contributed To
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