Chameleon-company/MOP-Code
Aug 2025 – Sep 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPythonCSSHTMLJSONJavaScript
Technical Skills
API IntegrationBusiness IntelligenceData AnalysisData CleaningData VisualizationFile Management
sahithipinnam
PROFILE
Sahithipinnam
Sahithi Pinnam developed an end-to-end analytics feature for Chameleon-company/MOP-Code, focusing on Melbourne’s weekend business activity zones. She consolidated foot-traffic and business data using Python and Pandas, engineered features to identify high-traffic hotspots, and visualized insights through interactive Folium maps and charts. Her work included data cleaning, proximity analysis, and exportable dashboards to support marketing and site planning decisions. Sahithi also improved repository structure by standardizing naming conventions, organizing notebooks, and preparing HTML exports for GitHub Pages. The project delivered a maintainable analytics foundation, enhanced collaboration, and enabled data-driven decision making without introducing major bugs or regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
3
Lines of code
60,533
Activity Months2
Your Network
98 people
Work History
September 2025
17 Commits • 1 Features
Sep 1, 2025September 2025 saw the delivery of end-to-end Melbourne Weekend Business Activity Zones Analysis (UC00189) for Chameleon-company/MOP-Code. The effort covered data loading and cleaning, feature engineering, top-weekend hotspot identification, proximity analysis to nearby businesses and cafes, and visualization via charts and an interactive Folium map. In addition, notebooks were organized, HTML exports produced, and the repository cleaned and structured to support GitHub Pages sharing.
17 Commits • 1 Features
Sep 1, 2025September 2025 saw the delivery of end-to-end Melbourne Weekend Business Activity Zones Analysis (UC00189) for Chameleon-company/MOP-Code. The effort covered data loading and cleaning, feature engineering, top-weekend hotspot identification, proximity analysis to nearby businesses and cafes, and visualization via charts and an interactive Folium map. In addition, notebooks were organized, HTML exports produced, and the repository cleaned and structured to support GitHub Pages sharing.
September 2025
August 2025
10 Commits • 2 Features
Aug 1, 2025August 2025: Delivered a notebook-driven analytics feature for Melbourne weekend activity, merging foot-traffic data with business information to produce visualizations and actionable insights for high-traffic zones. Completed organizational improvements in the Playground to enhance discoverability (personal folder, standardized naming, and directory structure). No major bugs were reported; minor stability tweaks were addressed during notebook updates. Overall impact: strengthened data-driven decision making for site prioritization and marketing strategies, improved collaboration, and a maintainable analytics backbone. Technologies demonstrated included data consolidation, notebook-based analytics, visualization, version control practices, and repository hygiene.
August 2025
10 Commits • 2 Features
Aug 1, 2025August 2025: Delivered a notebook-driven analytics feature for Melbourne weekend activity, merging foot-traffic data with business information to produce visualizations and actionable insights for high-traffic zones. Completed organizational improvements in the Playground to enhance discoverability (personal folder, standardized naming, and directory structure). No major bugs were reported; minor stability tweaks were addressed during notebook updates. Overall impact: strengthened data-driven decision making for site prioritization and marketing strategies, improved collaboration, and a maintainable analytics backbone. Technologies demonstrated included data consolidation, notebook-based analytics, visualization, version control practices, and repository hygiene.
Activity
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Quality Metrics
Correctness97.4%
Maintainability96.2%
Architecture96.2%
Performance95.4%
AI Usage22.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptJupyter NotebookMarkdownPython
Technical Skills
API IntegrationAPI UsageBusiness IntelligenceCSSCode CleanupData AnalysisData CleaningData ScienceData VisualizationDocumentation ManagementFile ManagementFoliumFront End DevelopmentFrontend DevelopmentGeospatial Analysis
Repositories Contributed To
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