Analytics that accelerates executive decisions, not just documents them.

I partner with executive teams to surface what matters, cut through noise, and translate data into competitive advantage at the speed your decisions require.

10+ Years Executive-Facing Analytics
M.S. Data Science from University of Chicago
AI & Modern Analytics Fluent

How I Help

Strategic analytics services for leadership teams moving at the speed of business.

Executive & Board Analytics

Decision-ready reporting for C-suite and board audiences. KPI frameworks that surface exceptions, trends, and inflection points rather than just metrics.

  • Exception-based dashboards highlighting what changed and why
  • Board-ready presentations with clear narrative
  • KPI governance that eliminates metric debates

Revenue & Growth Intelligence

Early warning systems that quantify risk, surface recoverable revenue, and provide real-time visibility into performance drivers.

  • Revenue risk dashboards with forward indicators
  • Leakage identification and recovery roadmaps
  • Performance driver analysis across business units

Predictive Analytics & Forecasting

Forward-looking models that give leadership 4 to 8 weeks of visibility into demand, capacity, and risk scenarios.

  • Demand and capacity forecasting models
  • Scenario planning for strategic decisions
  • Early warning systems for operational risk

Data Strategy & Governance

Foundational data architecture, canonical definitions, and governance frameworks that make analytics trustworthy and scalable.

  • Single source of truth architecture
  • Metric governance and canonical definitions
  • Analytics roadmap aligned to business priorities

Industries

Healthcare, Revenue Cycle, Enterprise Operations, Real Estate Investment

Stakeholders

C-Suite Executives, VPs, Directors, Operations Leaders, Board Members

Outcomes Delivered

$1.2M+ Revenue Identified, 18% Denial Reduction, 25% Forecast Accuracy Gain

Results

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Here's what that looks like in practice.

Executive Revenue Dashboard

The situation: Leadership lacked visibility into revenue cycle performance across service lines.

The outcome: Real-time KPI framework identified $1.2M in recoverable revenue within 90 days.

$1.2M

recoverable revenue identified

Denials Root Cause Analysis

The situation: High denial rates were eroding margins with no systematic understanding of drivers.

The outcome: Identified top 5 drivers (60% of losses) enabling targeted process improvements.

18%

reduction in denials

Capacity Forecasting Model

The situation: Reactive staffing decisions led to overtime costs and service delays during peak periods.

The outcome: 4 to 6 week forward visibility eliminated bottlenecks and reduced overtime spend.

25%

staffing accuracy improvement

Ready to Move Faster?

I partner with leadership teams on analytics strategy, consulting, and advisory engagements, from fractional leadership to full-time roles.

Let's Talk