World Data Cleaning & Analytical Questions Project

This project focused on transforming a raw global dataset into a clean, reliable foundation for advanced analytics.

Conducted data profiling to identify missing values, duplicates, and inconsistent formats.

Applied a structured data cleaning process (standardization, error handling, missing data treatment, and optimization).

Built new features & KPIs such as GDP per capita, wealth categories, and development status.

Defined and analyzed key business questions, exploring global economic and health disparities, correlations, and investment opportunities.

The project delivered a well-structured dataset and provided meaningful analytical insights, setting the stage for visualization in Power BI.