Hospital Patient Insights – Data Analysis Using Python & SQL

Project Overview This project focuses on analyzing hospital patient records to extract meaningful insights regarding patient demographics, department workloads, and doctor performance. The goal is to improve hospital management efficiency using data-driven decision-making. Tools & Technologies Used: Python (Pandas, Matplotlib, Seaborn) for data cleaning & visualization SQL for querying and analyzing hospital records Excel for preprocessing patient data Power BI for interactive hospital dashboards Key Insights & Achievements: Identified most common diagnoses and patient age distribution Analyzed department workloads to optimize resource allocation Evaluated doctor performance and suggested workload balancing Provided recommendations for hospital management improvements