Systems built to be used, not ignored.
I help organizations make sense of their data. From EMR exports to financial feeds, I build clean, automated analytics that drive decisions — without corporate noise, long contracts, or pointless complexity.
I help organizations make sense of their data. From EMR exports to financial feeds, I build clean, automated analytics that drive decisions — without corporate noise, long contracts, or pointless complexity.
Most projects don't start with a blank slate. They start because something feels off.
The numbers don't line up. The dashboard exists but no one trusts it. The process "works," but only because one person babysits it.
That's where I start.
I diagnose what's actually failing — data, logic, tooling, workflow, or expectations — and fix it at the source. Sometimes that's a small correction. Sometimes it's a rebuild. But it's always done so the system works without heroics.
If the problem is simple, the fix is simple. If it isn't, you'll know why before anything gets bigger.
Most fixes stay small. Some turn into builds. A few grow into long-term optimization.
No fluff. No unnecessary rebuilds. No mystery boxes.
Low commitment. Immediate relief.
Best for: individuals, managers, small teams
Timeline: same week turnaround
Contained projects that replace manual pain.
Best for: departments, nonprofits, small orgs
Timeline: 1–2 weeks
When the problem isn't one report — it's the system.
Best for: clinics, healthcare orgs, growing teams
Timeline: 1–3 months
Everything is broken. You want it done right.
Best for: organizations ready to modernize
Timeline: 3–6 months+
Rebuilt their website and donation system when their prior platform caused operational and collection issues. Implemented independent donation processing, simplified site management, and removed reliance on a fragile third-party setup — freeing them to focus on their mission instead of fighting tech.
Explained month-over-month swings using CPT mix, volume, and policy changes. Built readable, maintainable DAX models for healthcare analytics.
Charges, adjustments, and collections by service month with payer rollups. One refresh, many views across multiple reporting layers.
Replaced a fragile Excel workbook with a scheduled dataflow and stable executive summary that updates automatically.
Engineered enterprise-scale ETL workflows across claims, eligibility, provider, and pharmacy data. Automated high-volume vendor extracts for major partners, reducing manual processing by 70%.
Led migration from legacy mainframe systems to cloud infrastructure for multi-million-member health plan. Designed data governance frameworks and built scalable cross-network analytics infrastructure.
Built custom GPT-based analytics platform with persistent memory, multi-model routing, voice queries, and automated insight generation. Designed for HIPAA-safe healthcare data workflows.
Created executive-level Power BI dashboards integrating claims, pharmacy, and financial data for C-suite stakeholders. Replaced 50+ manual Excel reports with automated, auditable analytics.
Developed specialized Python scripts for data extraction, transformation, file processing, and workflow automation. Created utilities that save hours of manual work weekly.
reduction in manual Excel work
source of truth instead of six "final_final" files
answers, fewer fire drills
systems people actually trust
15 years in data. Nearly 10 in healthcare analytics.
Healthcare Expertise: Claims, eligibility, CPT/ICD, revenue cycle, DRG, NDC, HEDIS measures, risk adjustment, FHIR/HL7 standards, HIPAA compliance, Medicare/Medicaid data, AthenaHealth & Veradigm EMR integration.
Technical Stack: SQL (SQL Server, Oracle, DB2), Snowflake, SAS (10+ years), Python (Pandas, NumPy), Power BI (DAX, modeling), Azure DevOps, Tableau, Excel (advanced VBA).
Data Engineering: ETL/ELT development, data warehousing, star/snowflake schema design, reporting automation, data governance, process optimization, Ab Initio, EMR/EHR data integration.
AI & Automation: GPT-based analytics tools, multi-model integration (OpenAI, Gemini, Ollama), FAISS vector indexing, speech-to-text (Whisper), natural language query interfaces, workflow automation.
Education: Master's in Business Healthcare Analytics (University of Arkansas), Bachelor's in International Studies & Economic Development (UCA), Certified SAFe® Agilist & Practitioner.
Tell me what's broken, how urgent it is, and what "fixed" looks like.