Business Problem
Healthcare leaders need to understand patient volume, appointment patterns, satisfaction, and operational pressure without manually combining reports.
Analytics Workflow
- Data collection
- data cleaning
- transformation
- KPI design
- dashboard reporting
- recommendations
Methodology
Cleaned operational tables, created KPI definitions, analyzed trends, and designed dashboard views for leadership.
Key Findings
Patient satisfaction decreased as admission and appointment volume increased. Staffing coverage and appointment delays should be reviewed together.
Business Impact
Helps healthcare managers see operational pressure earlier and reduce manual reporting time.
Technical Highlights
SQL aggregation, Python/Pandas cleaning, Power BI dashboard design, KPI definitions, data quality checks.
What This Project Demonstrates
SQL, Python, data cleaning, dashboard design, machine learning or NLP where applicable, data engineering where applicable, business communication, and problem solving.
Interview Talking Points
What problem did you solve? What data did you use? What would you improve next?
Lessons Learned
A useful analytics project must connect metrics to operational decisions.
Future Improvements
Replace simulated data with a real public dataset or approved internal sample.