تحليل بيانات مؤشر الجريمة المنظمة

• Performed a large-scale analysis of organized crime across 150 countries, applying statistical and machine learning approaches such as regression, discriminant analysis, and clustering to reveal underlying drivers and global trends.

• Designed predictive and classification frameworks to segment countries into distinct groups and assess varying levels of crime exposure.

• Communicated outcomes through data visualizations and well-structured reports, simplifying complex models into insights that could guide comparative research and strategic perspectives.