In compliance with HIPAA and other applicable regulations, raw data from several databases was processed and analyzed, leading to the establishment of key performance indicators (KPIs) and the provision of insightful recommendations.

An interactive dashboard with hot-swappable data was developed using Tableau, significantly enhancing data visualization and interaction.

Strategies to boost patient satisfaction in telemedicine and reduce readmission rates were identified through comprehensive analysis, facilitating improved healthcare outcomes.

Python and R were utilized for machine learning, and SQL was employed to transform raw CSV files into streamlined databases.