Nursing Workforce Analytics
In partnership with Emory Healthcare and their innovation program, we implemented an operational workforce platform to curb nurse turnover through real-time analytics. The platform integrates clinical, scheduling, HR, and financial data into a centralized streaming pipeline and data lake. It continuously pulls streams from core enterprise systems, including Epic, UKG, PeopleSoft, and EPSI. Using predictive machine learning models, the system flags individual burnout and turnover risks well in advance. It isolates the primary drivers behind nurse attrition and suggests targeted retention actions. At the same time, the platform models financial ROI to help executive leadership evaluate staffing investments.
This data architecture powers a frontline management dashboard. It serves nurse leaders as a daily operational cockpit for proactive, data-driven workforce decisions.
Awards:
-
$160,000 – Emory Healthcare Innovation Funding (pilot funding)
-
$340,000 – Emory Healthcare full roll-out funding
-
$25,000 – Georgia Research Alliance Phase I exploratory funding
-
$150,000 – Georgia Research Alliance developmental fund
-
$50,000 – Biolocity commercialization support for university-based entrepreneurship
Inequality in Public Services
I led a research team funded by a 20,000 CHF (~22,000 USD) grant from the Swiss Embassy in Albania to examine inequalities in public service access across Tirana, Albania. The project focused on building regional capacity by training 10 volunteers in core data analysis and visualization tools, including Python and QGIS. Our team created maps identifying neighborhoods that were underserved by local educational and healthcare facilities. The work culminated in a final report and a series of presentations to municipal officials, project funders, and community members to share the findings.
Awards:
-
$20,000 – Swiss Embassy in Albania