Overview
Created an interactive Power BI dashboard analyzing global health expenditure trends across 100+ countries, with K-Means clustering to segment countries by healthcare efficiency and provide policy insights.
Approach
- Power Query for data cleaning — 100% accuracy verified
- K-Means clustering to segment countries by spending efficiency
- Interactive Power BI dashboard with drill-through filters
- Policy recommendations derived from cluster analysis
Results
| Metric | Value | |--------|-------| | Countries analyzed | 100+ | | Data accuracy | 100% | | Clustering method | K-Means |
Tech Stack
Power BI Python K-Means Power Query pandas scikit-learn