Earthquake Damage in Nepal

• Built predictive models using logistic regression and decision trees, achieving 87% accuracy.

• Analyzed data bias across 14 districts to ensure fair geographical predictions.

• Processed 260,000+ SQLite records, improving model reliability by 22% with data quality checks.