Chameleon-company/MOP-Code
Apr 2025 – Sep 2025
4 Months active
Languages Used
CSSHTMLJupyter NotebookPythonSQLJavaScriptJSON
Technical Skills
API IntegrationData AnalysisData CleaningData ScienceData VisualizationFolium
vivekolladapu
PROFILE
Vivekolladapu
Vivek Kolladapu developed a suite of data-driven analytics and visualization features for the Chameleon-company/MOP-Code repository, focusing on Melbourne’s real estate and urban mobility challenges. Over four months, he engineered end-to-end pipelines for data ingestion, cleaning, and preprocessing, integrating sources like building permits and transit data. Using Python, Pandas, and Folium, Vivek implemented ARIMA-based forecasting and interactive mapping to reveal spatial trends and accessibility insights. His work enabled scenario planning for urban development and identified transit-rich versus underserved neighborhoods. The solutions emphasized reproducibility, maintainability, and stakeholder readiness, demonstrating depth in geospatial analysis, time series modeling, and collaborative engineering practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
4
Lines of code
509,744
Activity Months4
Your Network
98 people
Work History
September 2025
6 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a data-driven mobility use-case, "Ease of Travel for Young Adults in Melbourne", within Chameleon-company/MOP-Code. Built end-to-end functionality including data fetching, cleaning, visualization, and an interactive HTML map to analyze transit accessibility and bike-share availability for young adults. The deliverable provides actionable insights on transit-rich neighborhoods and underserved areas to guide planning, outreach, and resource allocation. Completed multiple sprint-2 iterations, merged changes to the ready-to-publish folder, and prepared for release.
6 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a data-driven mobility use-case, "Ease of Travel for Young Adults in Melbourne", within Chameleon-company/MOP-Code. Built end-to-end functionality including data fetching, cleaning, visualization, and an interactive HTML map to analyze transit accessibility and bike-share availability for young adults. The deliverable provides actionable insights on transit-rich neighborhoods and underserved areas to guide planning, outreach, and resource allocation. Completed multiple sprint-2 iterations, merged changes to the ready-to-publish folder, and prepared for release.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Chameleon-company/MOP-Code: Delivered Melbourne Real Estate Development Analytics feature, integrating building permit data, landmark information, and development activity records to enable data preprocessing, trend visualization, and ARIMA-based forecasting of future development hotspots. Enhancements include interactive maps and heatmaps visualizing spatial patterns and proximity to amenities. Commit 52f00360c5a22139beca8d6fe4b839d27706bd06 marked the sprint 1 initial implementation.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Chameleon-company/MOP-Code: Delivered Melbourne Real Estate Development Analytics feature, integrating building permit data, landmark information, and development activity records to enable data preprocessing, trend visualization, and ARIMA-based forecasting of future development hotspots. Enhancements include interactive maps and heatmaps visualizing spatial patterns and proximity to amenities. Commit 52f00360c5a22139beca8d6fe4b839d27706bd06 marked the sprint 1 initial implementation.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — Delivered the initial urban development analytics feature for the Melbourne real estate market within MOP-Code. Established interactive map visualization showing development activity and public landmarks, and implemented an ARIMA-based forecasting setup for suburb-level growth trends. This work lays the data-driven foundation for future urban insights and supports decision-making for planning and investment. The initiative also prepared for scaling the analytics stack with publish-ready artifacts for stakeholder review.
2 Commits • 1 Features
May 1, 2025May 2025 — Delivered the initial urban development analytics feature for the Melbourne real estate market within MOP-Code. Established interactive map visualization showing development activity and public landmarks, and implemented an ARIMA-based forecasting setup for suburb-level growth trends. This work lays the data-driven foundation for future urban insights and supports decision-making for planning and investment. The initiative also prepared for scaling the analytics stack with publish-ready artifacts for stakeholder review.
May 2025
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Chameleon-company/MOP-Code focused on delivering an end-to-end Melbourne real estate market analysis platform (data ingestion, preprocessing, visualization, and interactive mapping) along with code quality improvements and Sprint 1 readiness.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Chameleon-company/MOP-Code focused on delivering an end-to-end Melbourne real estate market analysis platform (data ingestion, preprocessing, visualization, and interactive mapping) along with code quality improvements and Sprint 1 readiness.
Activity
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Quality Metrics
Correctness84.2%
Maintainability84.2%
Architecture82.8%
Performance82.8%
AI Usage22.8%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptJupyter NotebookPythonSQL
Technical Skills
API IntegrationARIMA ModelingARIMA ModelsData AnalysisData CleaningData EngineeringData ScienceData VisualizationDocumentationFoliumGeopyGeospatial AnalysisJupyter NotebookJupyter NotebooksLeaflet.js
Repositories Contributed To
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