top of page
Create Your First Project
Start adding your projects to your portfolio. Click on "Manage Projects" to get started
Health Risk Prediction Model for Rural Populations
Location
Grand Forks, ND
Project type
Health Research
Date
2016
Role
Senior Data Scientist
Technology
Python, SAS, SPSS, Predictive Modeling, Data Analytics
Objective: Build a predictive model to assess health risks in underserved rural populations.
Key Achievements:
Increased identification of high-risk individuals by 25%
Enabled better resource allocation
Contributed to healthcare policy decisions
Developed a health risk prediction model that leveraged rural population data to help healthcare providers and policymakers allocate resources more effectively. The model was particularly useful in underserved areas, leading to improved patient outcomes and more efficient healthcare delivery.
bottom of page