AI-Powered Zip-Code Expansion Strategy-PPEC

Click Here to check the heatMap HTML, zip code excels and complete case study (GITHUB)

Why I Did This?

PPEC of Palm Beach is at capacity. To grow without compromising care quality, we needed a scalable, data-backed way to:

• Identify high-need areas

• Prioritize outreach and expansion

• Allocate resources more strategically

I used AI clustering, public health data, and location modeling to find where and how PPEC should grow next.

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How I Did It?

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•  Data Used: Zip-code-level child population, income, Medicaid %, distance to PPEC

•  AI Model: K-Means clustering to segment zip codes by opportunity

•  Tools: Python, Folium, Scikit-learn, US Census data, Florida AHCA

•  Output: Opportunity map, resource plan, outreach insights

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Explore the Map 

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Here’s the live heatmap showing zip codes segmented by AI-driven opportunity clusters:

• 🟢 High Potential

• 🟠 Moderate Potential

• 🔴 Low/Saturated

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5 Strategic Growth Insights:

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• 33413, 33417, 33415 are top high-potential zones — high need, low service.

• Major “white space” zones are underserved despite high Medicaid coverage.

• Clustering helps target franchises, not just build new centers.

• Zip-level data enables hyperlocal ads for better ROI.

• Resources (outreach, staff, transport) can be optimized by priority zone.

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Further Actionable Projects I Built from the Insights:

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1. Resource Allocation Plan

Strategy Overview:  Zip codes were grouped into High, Moderate, and Low priority clusters based on child population, Medicaid eligibility, and proximity to existing PPEC centers.

Recommended Action Plan Based on Action Plan:

High Priority:- Deploy staff outreach teams- Launch community programs- Initiate school tie-ups and transport supportModerate Priority:- Maintain current outreach levels- Monitor for shifts in demandLow Priority:- Minimal resource allocation- Deprioritize for now 

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2. White Space Zones

Strategic Overview: Leveraged AI-powered clustering and geographic analysis to identify “white space” zones — zip codes with high Medicaid-eligible populations and limited proximity to existing PPEC centers. These zones represent untapped opportunities for impact and growth.

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Implication: 

• Prioritized outreach in high-need zip codes can immediately reduce community service gaps.

• These zones provide excellent testbeds for pilot initiatives such as transportation support, local partnerships, or mobile PPEC units.