Business Implications
The AI-driven segmentation empowered PPEC to strategically expand into underserved areas, improving access for low-income families while reducing operational inefficiency. This model enabled data-backed investment decisions, optimized transportation planning, and supported targeted marketing in zones with the highest potential for community impact and ROI.
Steps Performed
Combined demographic, Medicaid, and proximity data using K-Means clustering to generate actionable geographic insights for strategic service expansion and targeted community outreach.
1.
Define The Challenge
PPEC of Palm Beach was at capacity, requiring a data-driven method to identify underserved regions and guide resource allocation for sustainable, high-impact growth without lowering care quality.
2.
Collect And Integrate Data
Gathered and cleaned zip-code-level data including child population, median income, Medicaid coverage, and distance to existing PPEC centers using Python and US Census APIs.
3.
Apply AI Clustering
Implemented K-Means clustering in Scikit-learn to segment zip codes into opportunity groups — High, Moderate, and Low — based on readiness, accessibility, and service need.
4.
Visualize And Map Results
Used Folium to visualize geographic clusters on an interactive heatmap showing underserved “white space” zones, color-coded by growth potential for easy stakeholder interpretation.
5.
Recommend Growth Actions
Developed actionable recommendations for resource allocation, outreach campaigns, and partnership development tailored to each priority level, supporting high-ROI expansion into high-need areas.
AWS Services Used
Amazon S3
AWS Lambda
Amazon SageMaker
Amazon QuickSight
AWS Glue
Amazon EC2
Python
Scikit-Learn
Folium
US Census Data
Technical Tools Used
AI Clustering
Data Visualization
Geographic Modeling
Business Strategy Alignment
Skills Demonstrated
AI-Powered Zip-Code Expansion Strategy-PPEC
Data-driven growth framework for pediatric care centers
This project used AI clustering and public-health data to identify underserved zip codes for PPEC of Palm Beach. By combining demographic, Medicaid, and location datasets, it revealed high-impact growth zones and enabled scalable, insight-driven expansion without compromising care quality.
