Hospital Reception Analytics Dashboard | Python & Power BI

Developed a comprehensive healthcare analytics project focused on optimizing hospital reception operations using Python and Power BI.

The project involved analyzing a large-scale dataset from a major American hospital to uncover patterns related to patient flow, waiting times, service demand, peak reception hours, referral sources, and demographic behavior.

My responsibilities included:

• Leading and coordinating the project team workflow

• Managing data cleaning and preprocessing pipelines

• Performing exploratory data analysis (EDA) using Python

• Building analytical scripts with Pandas and NumPy

• Supervising Power BI dashboard design and visualization quality

The final interactive dashboard enabled healthcare teams to:

• Detect congestion and bottlenecks

• Understand patient movement patterns

• Improve staffing efficiency

• Support data-driven operational decisions

Tools & Technologies:

Python, Pandas, NumPy, Excel, Power BI