
Randi Gunasekara developed five end-to-end analytics and documentation features for the Chameleon-company/MOP-Code repository over two months, focusing on urban planning and accessibility. He built interactive map visualizations and comprehensive accessibility analyses for Melbourne, integrating public facility data using Python, Pandas, and Folium. His work included data cleaning, transformation, and GIS-enabled pipelines to support repeatable analytics, as well as reusable templates for broader application. Randi also overhauled documentation, introducing new templates and reorganizing content for better onboarding and governance. The depth of his contributions improved maintainability, discoverability, and provided actionable insights for city planning without introducing new bugs.

December 2024 — Delivered two end-to-end analytics features in Chameleon-company/MOP-Code that directly support city planning for Melbourne. The work combined data cleaning, transformation, and advanced visualization to create actionable insights for accessibility and urban greening. No major bugs fixed this month.
December 2024 — Delivered two end-to-end analytics features in Chameleon-company/MOP-Code that directly support city planning for Melbourne. The work combined data cleaning, transformation, and advanced visualization to create actionable insights for accessibility and urban greening. No major bugs fixed this month.
November 2024: Chameleon-code delivered focused improvements across documentation, accessibility data visualization, and notebook workflows, driving better onboarding, governance, and actionable insights.
November 2024: Chameleon-code delivered focused improvements across documentation, accessibility data visualization, and notebook workflows, driving better onboarding, governance, and actionable insights.
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