Clarify Health's enterprise analytics platform empowers providers, payers, and life sciencescompanies to deliver better care to patients through actionable insights. With industry-leading statistical modeling and machine learning, Clarify Health harnesses the power of the most comprehensive longitudinal dataset in the US by linking clinical, claims, prescription, lab, and social determinants of health data across over 300 million lives.

- Present meaningful medical utilization data and analytics to leaders of consumer health plans across all segments of the IBC Family of Companies.- Provide actionable insights for population health initiatives and cost containment strategies based on client-specific healthcare trends, including population characteristics and prevalence of disease.- Collaborate with partners in Sales and Marketing to identify customer-specific strategies and data-driven solutions to propose innovative products to our clients with the goal of improving their population's health.

- Independently managed over 200 standard and ad-hoc analytics projects per year.- Led network and discount analytics for all existing and potential national accounts, with a key role in driving high-profile customer sales and retention. - Leveraged national market intelligence to identify and analyze opportunities for cost containment through custom network strategies for national accounts.- Skilled in process improvement, trend analysis, and developing innovative and strategic competitive reporting. - Chosen to present competitive intelligence reporting at 2020 company-wide Tech Week event.- Recognized in the Top 50 Corporate Volunteers of 2020.

- Supported customer growth and retention through the development and execution of sales analytics.- Analyzed client-specific medical utilization and national market dynamics to inform strategic decision-making across Sales, Marketing, Actuarial and Underwriting departments.- Improved existing processes through conversion of large-scale reporting from Excel to SQL databases.

- Identified trends and inconsistencies within large sets of health insurance claim data using Access databases and SQL queries.- Collaborated with team members and data engineers to improve existing reports and tools.

- Processed and reviewed expense reports, budgets for federally and privately funded research. - Utilized grant database to anticipate funding and presented data to chair and faculty. - Distributed mail, ordered and organized office supplies, maintained employee and student files.