Managing Lewin’s analytics, data warehousing, payment reform and quality incentives■ Community Health Access and Rural Transformation (CHART): Developed quality measures and computing hospital incentive payments using data from the Integrated Data Repository (IDR) nationwide data warehouse for the CHART model. ■ Health Equity & Population Health Tools: Developed a suite of interactive data visualizations and analytic tools using SAS, SQL, and Tableau that help government agencies advance health equity. ■ Indiana Substance Use Disorder (SUD) Provider Capacity Planning: Led the development of analytical tools using Teradata to analyze provider capacity in Indiana. ■ New Jersey Quality Improvement Program: Led the development of pregnancy and mental health quality measures (HEDIS/NCQA) for the state of New Jersey for 65 participating hospitals using SQL, SSIS, and .NET ■ Veterans Administration (VA) Suicide Prevention: Delivered a Suicide Prevention Data Warehouse and Analytics to the VA to identify the at-risk veterans using SQL Server, SSIS and SSRS. ■ Predicting Opioid Related Adverse Events: Developed machine learning models built in R that predict individuals who are susceptible to adverse events. ■ New Jersey Delivery System Reform Incentive Payment (DSRIP) Program: Lead the development of 50 standard national quality measures (HEDIS/NCQA) that are used to calculate hospital incentive payments; led the claims/EHR data warehousing processes using SSIS, SQL Server. ■ Qualified Entity Certification Program (QECP): Led the development of 22 national quality measures on commercial and Medicare data using Teradata to achieve QE certification. ■ South Dakota Medicaid Data Analytics: Developed a Data Warehouse and Medicaid Data Analytics Solution for the state of South Dakota using SQL, SSIS, .NET, SQL Server, SAS, and Tableau. ■ New York All Payer Database: Developed data analytics systems for New York’s All Payer Database (APD) using Oracle and Tableau.

Strategic Responsibilities: • Responsible for concept and evolution of customized health care information systems that differentiate Mercer from the competition.• Drive new product development and increase business efficiency by applying data warehousing and machine learning principles, using big data technologies.Client Management:• Lead planning sessions, presentations and budget allocations for new products.• Define and manage product road-maps for clients with $70M+ total annual revenue. • Ensure client success through continuous engagement and delivery on time and budget. Product Portfolio Management:• Developed an ensemble machine learning model that predicts extreme high cost patients five months before they trigger the high cost threshold. Through prescriptive analytics, the model facilitates targeted risk adjustment, MCO benchmarking and focused wellness programs, thereby significantly reducing client health care expenses.• Led the development of a sequence cluster model that predicts the transition of mental health Medicare patients and their associated costs of $340M across various stages of treatment. The model opens new consulting opportunities by benchmarking insurers' & providers' treatment methods based on their re-admissions and expense statistics.• Delivered a healthcare data analytics and delivery solution for Boeing with $1M budget resulting in 20% productivity increase and $350k savings annually; Secured additional funding of 1.5M to develop streamlined workflows and automated analytics solutions.• Govern and manage regional development teams around the globe to ensure strategic, architectural and data compliance with Mercer's vision and SDLC.

Conduct business analysis and product competitive analysis. Supervise 7 on-shore and offshore engineers to manage product development from inception to operations. • Delivered a business intelligence solution for the APAC business, resulting in projected savings of $1.2M and differentiating Mercer through advanced claims analytics capabilities.• Created a new revenue stream of $1M per year by developing healthcare data analytics and financial data management products for state governments. • Delivered a business intelligence solution for the state of Pennsylvania, with overall consulting revenue of $17M, to monitor its state funded behavioral health programs. • Transformed underperforming offshore team to a valued corporate contributor while reducing overall development costs by 50%. • Delivered a health plan review solution to measure and enforce insurers’ systems readiness in handling state governments’ Medicare and Medicaid contracts, thereby saving 20% in operations costs and differentiating Mercer during the bidding process. • Led an enterprise wide effort to enhance Mercer’s IT products to support new government sponsored health programs introduced through the Affordable Care Act.• Published case studies on problem solving through the application of product management methodologies and on component reuse in enterprise applications.• Manage the development and support of Mercer’s health and benefits decision support system that supports 300+ commercial clients worldwide, supporting clients with 30M+ in overall consulting revenue. • Led the development of an organization wide single-sign-on solution, resulting in development cost savings of $200K in its first year of adoption. • Successfully utilized open source frameworks to develop enterprise applications resulting in cost savings of $250K in the first year of implementation.