# Global GDP Growth Analysis (2014–2024) ## Overview This project analyzes the average real GDP growth rate using World Bank data. ## Key Findings - 🇬🇾 Guyana ranked 1st (20.38%) - 🇮🇪 Ireland ranked 3rd (8.09%) - 🇲🇦 Morocco ranked 123rd (2.62%) ## Data Source World Bank Open Data
An end-to-end Data Science project predicting Human Development (HDI) using R. Features automated ETL (World Bank API), advanced EDA (PCA, Preston Curve), and a comparative analysis of Linear Regression vs. Random Forest models to uncover non-linear economic drivers.
Machine learning analysis predicting Sri Lanka's adolescent fertility rates using 64 years of World Bank data (1960-2023). Achieves 78% accuracy with linear regression model.
A Python project that analyzes World Bank indicator datasets (1990–2020) for selected countries. It performs statistical analysis, generates line plots, bar charts, and correlation heatmaps, and visualizes trends in agriculture land use, forest cover, CO₂ emissions, urban population, renewable energy consumption, and mortality rates.
Germany trade balance analysis using World Bank macroeconomic data with time-series visualization and regression modeling.
Econometric project analyzing the relationship between foreign direct investment and economic growth in 13 Asian developing countries (2000–2023). Using World Bank data and Python panel econometrics (FE, RE, Granger causality) to explore how FDI interacts with growth and key macroeconomic factors.
🌍 Analyze the Human Development Index across 180+ countries using R, combining data science techniques with economic theory for informed insights.
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