Predictive Modeling: Developed a Random Forest model to predict life expectancy, optimized via Cross-Validation.
ML Pipelines: Built automated pipelines for data cleaning, missing value imputation, and feature scaling.
Feature Engineering: Created new socio-economic metrics and identified key predictors using Feature Importance.
EDA & Visualization: Analyzed health and economic drivers using Seaborn/Matplotlib to derive actionable insights.