Chameleon-company/MOP-Code
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonCSSHTMLJavaScript
Technical Skills
Data AnalysisData VisualizationFoliumIPywidgetsMatplotlibNumPy
Chathurni Ratwatte
PROFILE
Chathurni Ratwatte
Chathur Niratwatte developed foundational features for the Chameleon-company/MOP-Code repository, focusing on data-driven web applications and analytics workflows. Over two months, he delivered a reproducible Jupyter Notebook for visualizing Melbourne’s subjective wellbeing, implementing data cleaning, fetching, and geospatial mapping using Python, Pandas, and Folium. He also established the scaffolding for an AI-enabled Flask web platform, integrating Bootstrap for UI enhancements and laying groundwork for vehicle detection and health behavior analysis. His work emphasized maintainable, scalable code and improved user experience, enabling analysts and stakeholders to explore social indicators efficiently while preparing the codebase for future AI-driven feature expansion.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
35,864
Activity Months2
Your Network
98 people
Work History
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 — Delivered foundational AI-enabled platform scaffolding for an AI-enabled Flask web app, UI enhancements for the Wellbeing Dashboard, and essential codebase maintenance. No major bugs fixed this month; emphasis on establishing a scalable foundation, improving usability, and preparing for scalable feature delivery in 2025. Business impact includes faster AI-driven project enablement, improved data exploration capabilities, and a more stable, traceable codebase for ongoing development.
4 Commits • 3 Features
Dec 1, 2024December 2024 — Delivered foundational AI-enabled platform scaffolding for an AI-enabled Flask web app, UI enhancements for the Wellbeing Dashboard, and essential codebase maintenance. No major bugs fixed this month; emphasis on establishing a scalable foundation, improving usability, and preparing for scalable feature delivery in 2025. Business impact includes faster AI-driven project enablement, improved data exploration capabilities, and a more stable, traceable codebase for ongoing development.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a Melbourne Subjective Wellbeing Visualization Notebook setup in the MOP-Code repository, establishing a reproducible workflow for data cleaning, data fetching, and visualization of social indicators in Melbourne. No major bugs fixed this month. Business impact: enables analysts and stakeholders to rapidly explore wellbeing trends and geospatial insights, supporting evidence-based decision-making for city planning. Technologies demonstrated: Python data manipulation, visualization, and mapping libraries; notebook-based workflow; commit-based version control for reproducibility.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a Melbourne Subjective Wellbeing Visualization Notebook setup in the MOP-Code repository, establishing a reproducible workflow for data cleaning, data fetching, and visualization of social indicators in Melbourne. No major bugs fixed this month. Business impact: enables analysts and stakeholders to rapidly explore wellbeing trends and geospatial insights, supporting evidence-based decision-making for city planning. Technologies demonstrated: Python data manipulation, visualization, and mapping libraries; notebook-based workflow; commit-based version control for reproducibility.
Activity
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Quality Metrics
Correctness76.0%
Maintainability76.0%
Architecture72.0%
Performance72.0%
AI Usage48.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
BootstrapCSSDashData AnalysisData VisualizationFlaskFoliumFront End DevelopmentHTMLIPywidgetsMachine LearningMatplotlibNumPyPandasPlotly
Repositories Contributed To
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