-Lead predictive model deployment and maintenance efforts through infrastructure and process development; develop tools and serve as SME for integration of R with core platform-Facilitate model understanding sessions with client leaders and product owners; contribute to tools through infrastructure development and as a SME-Help client leaders and product owners articulate questions, draft problem statements, identify and quantify opportunities, and plan for impact evaluation-Build predictive models that integrate with products and Analytic Accelerators-Contribute to machine learning infrastructure which significantly decreases time to value; SME and user-feedback for open-source ML package, developed scalable predictive feature data mart-Participate in and help shape Data Science team strategy, road map, and product/services backlog

-Wrote complex SQL queries in support of data validation, analytics, and visualizations-Designed and constructed data visualizations to illustrate issues or outcomes for client improvement-Performed data validation to test and ensure data/analytics accuracy from load to visualization-Built and modified Source Marts, Subject Area Marts, and QlikView/Tableau applications-Communicated with clients to ensure requirements are met and documented correctly-Facilitated and managed improvement activities through client training and communication

-Developed dashboards, reports, and other visualizations on healthcare utilization and expenditure-Forecasted and defended Medicaid caseload and expenditure using claims data and policies-Identified and recommended data modelling solutions based on project requirements-Integrated healthcare data sources, including: claims, case management, and accounting-Developed methodology for large-scale managed care claims integration and reconciliation-Led health care GIS mapping and network analysis efforts to solve logistical/operations problems

-Constructed and manipulated large data sets through the use of Excel, SQL, Stata, and SAS-Collaborated with project investigators and colleagues on multi-faceted research projects-Assisted with teaching duties including grading, material preparation, and office hours

-Mapped processes, gathered requirements, and suggested improvements for development of electronic medical record software