Live ML app that predicts which GP practices will overspend on NHS prescribing. Upload a raw NHSBSA file, get at-risk practices ranked by predicted overspend. Random Forest (R²=0.95) built with scikit-learn and Streamlit.

End-to-end NHS prescribing data science project. Analyses £10.54B and 217M+ records to find where the NHS overspends and predict at-risk GP practices using Python, DuckDB and Random Forest. Includes a live dashboard and a live ML prediction app.

Live interactive dashboard exploring £10.54B of NHS primary care prescribing across 42 ICBs and 5,764 GP practices. Built with Streamlit, DuckDB and Plotly. Eight chapters covering cost, geography, overspending, prediction and seasonality.

This project provides a data-driven analysis of NHS waiting lists in England, tracking patient backlogs from pre-COVID-19 to post-COVID-19.

General Assembly SEI Project 4: Flask + React App | WellNest is a platform created to provide a safe space for fostering mental health awareness

Simple connection to the NHS in the Opentest environment.