Chameleon-company/MOP-Code
Aug 2025 – Sep 2025
2 Months active
Languages Used
HTMLJavaScriptJupyter NotebookPythonJSON
Technical Skills
API IntegrationData AnalysisData CleaningData VisualizationFoliumJupyter Notebook
YuvaraniD
PROFILE
Yuvaranid
Yuvarani Dharmasivam developed an end-to-end data analytics solution for Chameleon-company’s MOP-Code repository, focusing on small business hotspot analysis across Melbourne and other regions. She designed and implemented a Jupyter Notebook pipeline that automated data fetching, cleaning, preprocessing, and visualization, using Python, Pandas, and Folium to generate interactive heatmaps and bar charts for economic development insights. Her work included time series forecasting with Scikit-learn and Statsmodels, artifact management for deployment readiness, and repository hygiene improvements such as localization standardization and scaffolding. The solution established a scalable foundation for future regional analytics, demonstrating depth in data science and engineering practices.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
3
Lines of code
26,795
Activity Months2
Your Network
98 people
Work History
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025: Delivered end-to-end Small Business Hotspots analysis (UC00190) for Chameleon-company/MOP-Code, including data processing, forecasting models, and heatmap visualizations; prepared publish-ready artifacts and advanced deployment readiness. No critical bugs reported this month; minor artifact organization improvements.
4 Commits • 1 Features
Sep 1, 2025September 2025: Delivered end-to-end Small Business Hotspots analysis (UC00190) for Chameleon-company/MOP-Code, including data processing, forecasting models, and heatmap visualizations; prepared publish-ready artifacts and advanced deployment readiness. No critical bugs reported this month; minor artifact organization improvements.
September 2025
August 2025
9 Commits • 2 Features
Aug 1, 2025In August 2025, delivered a feature-rich Small Business Hotspots Analysis Notebook for Melbourne and other regions, enabling dataset fetching, cleaning, preprocessing, and multi-view visualizations (heatmaps and bar charts), plus industry-area aggregation and interactive mapping with layer controls and insights for economic development. Established repository scaffolding and hygiene improvements, added a placeholder playground folder, and removed extraneous system files. Standardized language to Australian English across the repo, resolving localization inconsistencies. This work enhances business intelligence for regional planning and sets a scalable foundation for future analytics.
August 2025
9 Commits • 2 Features
Aug 1, 2025In August 2025, delivered a feature-rich Small Business Hotspots Analysis Notebook for Melbourne and other regions, enabling dataset fetching, cleaning, preprocessing, and multi-view visualizations (heatmaps and bar charts), plus industry-area aggregation and interactive mapping with layer controls and insights for economic development. Established repository scaffolding and hygiene improvements, added a placeholder playground folder, and removed extraneous system files. Standardized language to Australian English across the repo, resolving localization inconsistencies. This work enhances business intelligence for regional planning and sets a scalable foundation for future analytics.
Activity
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Quality Metrics
Correctness90.0%
Maintainability89.4%
Architecture87.8%
Performance87.8%
AI Usage29.4%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptJupyter NotebookPython
Technical Skills
API IntegrationData AnalysisData CleaningData ProcessingData ScienceData VisualizationFoliumJupyter NotebookJupyter NotebooksMatplotlibPandasPythonRequestsScikit-learnSeaborn
Repositories Contributed To
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