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A portfolio project that analyzes survey data from 5,000 employees around the world to investigate the impact of work-related factors on mental health and job satisfaction. It examines various variables and identifies trends and correlations. Using SQL, Python, Tableau, and Excel, the project demonstrates data analysis and visualization techniques.

The Tableau dashboard provides actionable insights into website traffic, user behavior, and conversions, aiding data-driven decisions despite dataset limitations like real-time updates. Metrics like session duration and bounce rate enhance optimization for better user experience

Developed a Decision Support System (DSS) for analyzing the impact of COVID-19 on global travel. This user-centric platform facilitates personalized data exploration, enabling users to uncover insights into changing travel patterns during the pandemic. Analyzed over 50 international and domestic flight routes, flight durations, and activity levels

The dashboard highlights disparities in disease rates, vaccination coverage, and life expectancies, providing key insights for public health policy. Real-time data and outbreak predictions would enhance future utility. Expanding country and indicator coverage could improve precision and informativeness