Senior Healthcare Data Analyst · Little Rock, AR

Leo Rule

 

I find the cost and quality insights in Medicare, Medicaid, and commercial claims and turn them into evidence that drives positive change.

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Portrait of Leo Rule

01 — Skills

Skills and the work behind them

Claims, cost and utilization, and quality analytics across commercial, Medicare, and Medicaid data, each paired with where I've applied it.

Claims & Cost Analytics

  • Medical claims
  • Pharmacy claims
  • Commercial
  • Medicare
  • Medicaid
  • All-Payer Claims Database (APCD)
  • Cost categorization
  • Milbank standardized cost methodology
  • Episodes of care
  • Claims-based savings methodology

Evidence

  • Identified $54M in potential savings by analyzing self-funded plan pharmacy claims against CMS Maximum Fair Prices
  • Developed a savings methodology that monetized an additional $4M annually for commercial, Medicare, and Medicaid oncology clients
  • Migrated a statewide expenditures dashboard to a standardized cost methodology by payer and service type

Savings methodology case study ↗ Experience ↓

Quality & Value-Based Care

  • Outcome measurement
  • Provider and facility variation
  • Value-based care model design
  • HEDIS
  • CMS Quality Standards

Evidence

  • Episode-of-care analysis of hip and knee replacements identifying length of stay and facilities with elevated revision rates
  • Built a pipeline incorporating public CMS measures into a national facility rating process
  • Designed value-based care datasets with clinical staff, integrating claims, enrollment, and clinical data

CMS data pipeline case study ↗ Experience ↓

Data Quality & Validation

  • Data validation
  • Reconciliation
  • Root-cause analysis
  • QA

Evidence

  • Managed intake and QA for a national registry of 4,500 ambulatory surgery centers
  • Root-caused Medicaid claims data quality issues and implemented validation procedures

Experience ↓

Data Pipelines & Reproducibility

  • ETL
  • Data pipelines
  • Version control
  • Documentation
  • Testing plans
  • Database Design

Evidence

  • Migrated a team's SAS/SQL codebase into Azure DevOps as an indexed, searchable repository
  • Documented and wrote testing plans for new pipelines

Azure DevOps knowledge base case study ↗ Experience ↓

Visualization & Data Storytelling

  • Dashboards
  • Data storytelling
  • Findings for clinical teams
  • Findings for senior leadership

Evidence

  • Redesigned leadership dashboards, increasing viewership by 15%

Experience ↓ Dashboard projects ↓

Tools

  • SQL (T-SQL, Spark SQL, PROC SQL)
  • SAS
  • R
  • Python
  • Tableau
  • Power BI
  • D3.js
  • Azure DevOps
  • Jira
  • Confluence

02 — Projects

03 — Experience

MPH, Epidemiology — University of Memphis, 2022 B.S., Biology — Baylor University, 2021 (Minor: Spanish)

04 — About

Portrait of Leo Rule

About me

I'm a healthcare data analyst who has spent years deep in claims, turning raw, multi-payer data into insights leaders can act on. My work spans an All-Payer Claims Database, national quality-and-safety registries, and enterprise savings methodologies.

What I care about most is taking a complex analysis and making its story unmistakably clear, whether the audience is a clinician, an executive, or the public. I always ask what the data is really telling us, and what we should do about it.

I'm based in Little Rock, AR. When I'm not in the data, I'm training for endurance events like ultramarathons or triathlons which, conveniently, gives me plenty of fitness data to analyze.

LinkedIn ↗ Email ↗

05 — Contact

Let's drive healthcare improvements together.

Open to healthcare analytics and health-policy roles. The best way to reach me is email or LinkedIn.

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