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global-data

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Machine learning project clustering countries based on socio-economic & demographic indicators using K-Means, iterative imputation & feature scaling.

  • Updated Nov 10, 2025
  • Python

Analyze global internet usage trends using World Bank data with Python, pandas, and matplotlib. This project explores internet adoption across countries, regions, and income groups through data cleaning, transformation, exploratory analysis, and visualization.

  • Updated Jul 14, 2026
  • Jupyter Notebook

This paper summarizes our preliminary EDA analysis on the provided dataset by the US State Government working with the UN. Here we researched and analyzed a specific area of UN internal committee meetings as requested by a U.S Embassy. We produced recommendations and presented our solutions contributing to the formulation of U.S. foreign policy.

  • Updated Aug 19, 2021
  • R

A comprehensive 📊Tableau dashboard project analyzing the 🗺️World Happiness Report (2015-2023) with 📈interactive visualizations exploring regional patterns, economic impacts, and social factors influencing global🔢 happiness scores.

  • Updated Feb 28, 2026

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