I build data products that connect analytics with daily operations—from SQL models and Python ETL pipelines to Power BI dashboards, React interfaces, FastAPI services, and workflow automation.
My focus is not just reporting what happened. I build decision-support systems that help teams determine what to do next: which claim to prioritize, which payer to escalate, which appointment is at risk, or which patient should fill an open slot.
Open to: Data Analyst · Data & Software Analyst · Healthcare Data Analyst · BI Analyst · Power BI Developer · Business Systems Analyst · Process Automation Analyst · Developer · Software Developer · Data Engineer
End-to-end healthcare revenue cycle platform that combines SQL, Python ETL, Power BI, React, FastAPI, and workflow automation to help teams prioritize claims and recover revenue faster.
- Claim denial, payer-performance, and A/R aging analytics
- Explainable 0–100 claim-priority scoring
- Revenue-recovery simulation and escalation logic
- React work queue and Power BI executive dashboards
Stack: Python SQL PostgreSQL FastAPI React TypeScript Power BI DAX Docker
Healthcare scheduling decision-support platform that predicts no-show risk, recommends staff actions, and helps clinics recover unused appointment capacity through waitlist matching.
- 0.72 ROC-AUC on temporal holdout
- Risk-based staff recommendations and outreach actions
- Waitlist matching for released and open appointment slots
- React operational views and Power BI reporting
Stack: Python Scikit-learn PostgreSQL FastAPI React Power BI Power Automate.
Good analytics does not just report what happened—it helps the team decide what to do next.