Tomi Akinyele
Partnerships & Data Strategy
I build data-driven scoring models to help healthcare organizations turn ‘gut-feel’ outreach into high-impact community partnerships
The Solution & Technical Stack
Signal 1: Community Trust (Years in Business + Google Ratings)
Signal 2: Community Reach (Social Media Footprint + Event Size)
Signal 3: Mission Alignment (How Will Their Goals Match Oasis)
Signal 4: Activity Frequency (Are They Consistently Active or “Zombie” Partners?)
Signal 5: Population Access (Do They Reach The Specific Groups We Need to Serve?)
SQL (The Database)
- I use SQL to organize thousands of rows of community data into a single, clean ‘Source of Truth’ for Oasis.
Python (The Engine)
- I use Python/Pandas to run the math. It automatically weights the trust and reach signals to give every partners a score from 1-100.
Tableau (The Visual)
- I use Tableau to turn those scores into an interactive map, so my team can see exactly where our strongest potential partners are located.
Bio
I am the Partnerships Coordinator at Oasis Health Services. I specialize in bridging the gap between community health and data strategy. Currently, I am developing a propietary Partnership Scoring Engine using SQL and Python to help healthcare providers identify and prioritize high-trust community leaders. My goal is use data to ensure that every community outreach effort results in real, measurable health outcomes.
Let's Connect!
If you have any questions, feel free to reach out to me using the form below.