Developed an end-to-end healthcare analytics solution using Python, SQL, Power BI, and Streamlit to analyze patient trends, treatment costs, and hospital operations. Created interactive dashboards and actionable insights from a dataset of 5,000 patient visits.
From the README
HealthIQ — Healthcare Patient Analytics Dashboard Live link: https://healthiq-healthcare-patient-analytics-operations-intelligence.streamlit.app/ Educational and analytical project. Not a clinical decision-making system. A portfolio-ready, end-to-end data analytics project built on a healthcare patient dataset covering 5,000 patient visits (January – July 2022). The project demonstrates the full data analyst workflow: data cleaning → SQL analysis → Python EDA → business insights → Power BI dashboard → Streamlit app → ML model. --- Business Problem Healthcare operations teams need to understand: • Which departments and visit types drive the most volume and cost • How patient...
Skills
- Jupyter Notebook
- Python
