Technical depth. Operational fluency. Client trust.

Build the system. Improve the operation.

• Reporting automation
• Process mining
• Six Sigma
• People leadership

• Built the team’s complete reporting platform, automating analytical dashboards that surfaced key management insights and distributed each analyst’s work every morning.
• Partnered with Six Sigma teams at warehouses across the country to map operations, uncover process breakdowns, and match corporate analysts with the facilities where they could build the strongest working relationships.
• Developed a lane-to-rate matrix that strengthened the company’s position with trucking partners when shipments were damaged or lost.
• Delivered $3M in first-year savings and reduced shipping errors by 18%, results that accelerated a promotion from entry-level analyst to leading a team of five.

Learn the operation. Rebuild the truth.

• Frontline operations
• Data architecture
• CRM data quality
• Client consulting

• Hired as the company’s first data analyst and embedded in Operations, not IT, becoming a practical bridge among call-center teams, technologists, and pharmaceutical clients.
• Worked alongside patient-services associates, listened to patient and physician calls, and operated the CRMs firsthand. That proximity exposed how human entry errors and weak system validation distorted the company’s base-level reporting.
• Re-engineered the data pipeline into layered, analysis-ready datasets that corrected the record, automated reporting, and equipped advanced analysts to investigate deeper questions.
• Turned those findings into Quarterly Business Reviews delivered to dozens of clients across the country, learning how to standardize the foundation while tailoring the insight to each program.

Turn frontline truth into an enterprise operating model.

• Enterprise transformation
• Operating-model design
• Patient journey analytics
• Client leadership

• Represented Enterprise Analytics on the Business Transformation Committee during Project Fusion, helping unite operations after the Lash Group, Xcenda, TheraCom, and other organizations came together.
• Used data to help rewrite operational SOPs, align call-center and delivery processes, and create a more consistent experience for patients, physicians, and clients.
• Built a standardized Tier 1 reporting suite across different program types, scaling the discipline of “standardized customization” without erasing the nuances that made each program work.
• Helped advanced data science teams model the true patient journey, improve productivity and patient experience, and turn the resulting insight into retained and expanded client relationships.

Turn patient intelligence into precision action.

• Rare-disease analytics
• Predictive modeling
• Clinical segmentation
• Commercial activation

• Personally developed the driver analysis and predictive targeting across more than 40 million de-identified claims and real-world data records.
• Worked with clinical experts to translate the model into six distinct patient cohorts, preserving meaningful differences in presentation and care journey.
• Delivered an approximately 80% client-reported success rate among targeted patients and outperformed a parallel external approach.
• Helped earn preferred analytics partner status while also scaling teams working across a broader 300M+ patient data environment.

Build the organization behind the insights.

• Enterprise strategy
• Cloud & governance
• Production ML
• Leadership at scale

• Directed 30+ managers and technical professionals.
• Reduced decision cycles from 60 days to 24 hours.
• Patient engagement initiatives lifted conversion and adherence rates by 15%.

Give teams the tools to move faster.

• Analytics roadmaps
• Self-service BI
• AI experimentation
• Portfolio governance

• Accelerated enterprise insight delivery by 40%.
• Cut report cycles from ten days to under 24 hours.
• Piloted LLM analysis of HUB productivity and designed an AI-assisted compliance framework.

Shape the decisions that shape patient access.

• Affordability strategy
• Applied LLMs
• Data stewardship
• Gross-to-net modeling

• Led affordability analytics across I&I, Oncology, Rare Disease, and Internal Medicine.
• Connected patient-funnel analysis, program measurement, and financial modeling to portfolio decisions.
• Piloted AI-assisted fraud, waste, and abuse detection.

Current role as of June 2026.