Pacific at Risk — Climate Vulnerability Analysis
Integrated climate, economic, and agricultural data across Pacific Island nations to build a composite vulnerability index and identify how environmental and economic conditions are shaping regional risk.
- Integrated 7 heterogeneous datasets covering climate, economic, and agricultural indicators across Pacific Island nations, standardizing country names and resolving unit mismatches for reliable comparison.
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Built a 4-page interactive Power BI dashboard with a composite
vulnerability index, identifying and fixing a DAX normalization bug involving
CALCULATEandALL()that caused scores to exceed 100. - Created a GitHub Pages narrative site using ECharts to communicate the analysis and vulnerability findings through interactive visualizations for non-technical audiences.
AI-Powered Heart Disease Risk Detection
Built a three-model machine learning pipeline using 50,000 CDC records and achieved 90.98% accuracy with engineered health indicators.
UIDAI Data Hackathon 2026 — District Priority Index
Built a weighted District Priority Index by collecting and analyzing 500,000+ Aadhaar enrollment and biometric records across multiple district-level sources, surfacing patterns to support data-driven prioritization decisions.
- Developed a weighted District Priority Index using
- 500,000+ Aadhaar records to support district-level
- prioritization and reporting.