Fatou Sanyang

Applied advanced statistical methods to support consulting engagements, ensuring valid conclusions.

Conducted rigorous data analyses, interpreting results for high reliability and accuracy.

Extracted internal and external data using SAS and Oracle PL/SQL for client projects.

• Analyzed patient assessment, clinical, and claims data to identify trends in risk factors, care gaps, and barriers to treatment, improving population health insights.
• Conducted statistical quality assurance reviews to ensure data accuracy, methodological integrity, and regulatory compliance across all projects.
• Queried and analyzed large datasets using SQL and Excel to track utilization patterns, identify high-cost patients, and optimize resource allocation.
• Designed data-driven care strategies by integrating clinical data, patient history, and provider input to support value-based care outcomes.
• Applied risk stratification methodologies to segment patient populations by disease burden, utilization, and cost, enabling targeted interventions.
• Collaborated cross-functionally with internal departments to support efficient project execution and enhance overall client satisfaction.
• Leveraged HEDIS measures to monitor and improve quality performance, including preventive care, chronic disease management, and medication adherence.
• Addressed complex analytical challenges by delivering innovative, data-driven solutions and actionable insights to stakeholders.
• Interpreted and validated risk adjustment data using CMS guidelines; utilized HCC models to improve accuracy of RAF score capture and chronic condition documentation.
• Prepared and validated Medicare and Medicaid claims reports, ensuring accuracy and compliance with regulatory and audit-related requests.

Executed SAS programs utilizing ESP and Cron scheduling to identify high-value savings claims prior to payment processing.

Created and maintained batch jobs for reliable claims inventory workflow.

• Provided analytical support for claims investigations through comprehensive statistical analysis, reporting, and data validation.
• Generated and maintained daily claims inventory reports to support investigative reviews and decision-making processes.
• Reviewed and validated statistical reports prepared by other statisticians to ensure accuracy, consistency, and quality standards.
• Collaborated closely with request initiators to deliver accurate billing and provider information in a timely manner.
• Applied a range of statistical techniques to produce detailed, provider-specific healthcare reports.
• Modernized and optimized legacy SAS programs while preserving regulatory compliance, data integrity, and established business logic.