LOCATion intelligence dashboard

Project Overview

A geospatial analytics dashboard built for a physiotherapy clinic chain in the Greater Toronto Area. It integrates demographic, competitor, and healthcare facility data to help identify optimal clinic locations and support strategic business expansion.

Key features

Fetches census-level demographic and income data using the StatsCan API.
Maps competitor clinics, hospitals, and walk-in centers via the Google Places API.
Calculates clinic-to-population ratios, hospital-to-clinic proximity, and other performance indicators.
Provides interactive heatmaps for visual exploration.
Deployed on google cloud with streamlit

Libraries & Tools Used

Python, Streamlit, GeoPandas, StatsCan API, Google Places API, PyDeck, Folium, AWS

Impact / Outcome

Enabled data-driven decision-making for location expansion by combining open data with real-time intelligence. Helped quantify market potential for physiotherapy clinics in the GTA.

Links

GitHub: GitHub - SiddharthSunilPatil/arrow-physiotherapy

Dashboard URL: Arrow Physio Dashboard

Future Enhancements

Integrate no-show prediction and smart scheduling modules.
Add Walk Score and parking data for accessibility insights.
Include clinic success prediction model based on ratings, demographics, and competition density.