Analytics Engineering Capstone using DuckDB, SQL, Python, Machine Learning and Dashboarding to analyze malaria incidence and health expenditure across selected African countries.
# Health & Development Analytics
## Overview
This project analyzes malaria incidence and health expenditure using DuckDB, SQL, Python, machine learning, and dashboards.
## Workflow
Load Data → Quality Checks → SQL JOIN → Window Functions → Analysis → Machine Learning → Dashboard
## Key Findings
- Malaria incidence generally declined.
- Health spending generally increased.
- SQL enabled integration of multi-source data.
- KMeans segmented country-year observations.