I help turn complex healthcare data into clear, decision-ready insights.
In this project, I developed a Power BI dashboard focused on uncovering inefficiencies and cost drivers within healthcare operations. Using a structured, real-world analytical approach, I built a solution that allows stakeholders to monitor and act on two critical KPIs: Average Length of Stay (LOS) and Cost per Discharge.
Starting from raw data, I designed a clean and scalable data model to support accurate reporting and fast performance. I then created dynamic DAX measures to track KPIs and enable flexible analysis across multiple dimensions such as time, departments, and patient segments.
Through exploratory data analysis, I identified patterns and anomalies in patient stays and treatment costs then applied root cause analysis to highlight what’s actually driving inefficiencies. The result is not just a dashboard, but a tool that helps decision-makers pinpoint high-cost areas, reduce unnecessary patient stay durations, and improve overall operational performance.
The final deliverable is an interactive, user-friendly dashboard built for clarity and action allowing non-technical stakeholders to quickly understand trends, explore insights, and make informed decisions.
If you're looking for someone who can go beyond visuals and deliver real analytical value this is exactly the kind of work I bring to the table.