Lead, mentor, and guide Data Science team including Python and R data scientists to define, develop, and implement machine learning and econometric models to drive outcomes, marketing, business development, and operational excellence. Responsible for deploying and monitoring of data science models and user interfaces. KEY ACCOMPLISHMENTS:• Updated the technology stack with cloud-based development and production servers.• Led model development shift to Python and R markdown.• Implemented model monitoring.• Developed multi-queuing model for loan production to forecast operational loan capacity and loan cycle times.

Led Data Science department to define, develop, and deploy advanced analytics strategies and experimentation across departments, including Pricing, Customer Experience, Collections, Treasury, Finance, and International Operations. Designed loan pricing experiments while maintaining data-based models and analysis. Engaged as subject matter expert on performance of quantitative methods.

Led Analytics and Research departments, including engineers, data scientists, and R/SAS programmers, to define and implement advanced analytics strategy, provide strategic direction, and to drive outcomes using the following statistical tools: predictive modeling; data mining; structured and unstructured data analysis; data visualization; artificial intelligence; machine learning algorithms; clustering; experimental design; discrete choice modeling; statistics; optimization; least squares regression; and cross-sectional and time series analysis using Applied Econometrics/ Epidemiological methods. Ensured communication and proved measureable value of projects by communicating in a clear and precise manner to a variety of audiences, including non-technical executive teams. Ability to collaborate across business areas with senior management teams in product, finance, sales, operations, and computer science, providing data insights and strategic recommendations to establish goals, plans, and objectives. 10+ years of consistent supervisory experience in a rapidly evolving environment delivering on-time and on-budget data driven solutions. Track record of tackling data challenges with creative, practical, strategy based decision making. Inspire, mentor, and train team.KEY ACCOMPLISHMENTS:• Constructed methodologies to create and deliver financial reconciliations of program performance of patient analytics and payer analytics for contracts with up to $2M at risk per contract, including actuarial pre-post, return-on-investment (ROI) analysis, optimization, and propensity score matching.• Led actuarial team designing metrics for contract performance accountability utilizing longitudinal, real-world data (RWD), including programming against large primary/secondary databases, identifying populations at greatest risk.• End-to-end data science solution development to improve care and customer experience, while reducing cost.

Led Analytics, Research, Customer Engagement, and Creative Design departments. Met the expectations and requirements of internal and external customers with C-suite leaders in product, finance, sales, and operations. Managed workload and designed, directed, and developed both observational and randomized trials and models in product performance research including care management and service delivery, while engaging best practices and methods. Collaborated across organization to prove measurable value of projects to clients and C-suite executives. Developed vision and strategy for RWD to develop strategic, analytical track record. Managed workload and designed, directed, and developed both observational and randomized trials and models in RWE research and development (R&D), including care management and service delivery while engaging best practices and methods. Presented at conferences and industry events to promote company's services. Developed advanced statistical and analytical analyses and modeling outcomes using Applied Econometrics methods. Collaborated across organization to prove measurable value of healthcare analytics projects to clients and C-suite executives. Inspired junior colleagues and led all stages of hiring.KEY ACCOMPLISHMENTS:• Achieved independently validated $1.2B in client savings through management of financial reconciliation.• Acquired buy-in from client CMO’s, CFO’s, and others through collaboration on health services (HEOR) research and strategy.• Point of contact in consulting with client CMO’s, CFO’s, and others through collaboration on health services research.• Enhanced corporate profile with exceptional track record of peer-reviewed, academic journal publications.• Led and performed pre-sale advanced analytics in support of risk assessment, developing business strategy, and new business opportunities.• Managed workflow for Research and Reconciliation Department for five months as Director of Research.

Designed and implemented random controlled trials, observational studies, cohort, case-control, economic, and outcome studies, using Applied Econometrics methods presenting results in consultation with sales team and external clients. Led development and implementation of empirical testing and validation of health decision support products. Mentored junior colleagues and research assistants.KEY ACCOMPLISHMENTS:• Ensured client satisfaction and retention through research project leadership, including identifying and planning projects, performing original research, and writing healthcare research reports that evaluated the performance of client company services.• Directed complex analysis of large, multivariate medical and pharmaceutical claims data to support health services research projects, using generalized linear models (GLMs), non-linear regression analysis, and non-parametric estimations.• Demonstrated client return on investment (ROI) through health services research and economic impact analyses.• Developed and conducted research for mission critical company services and products including randomized control trials (test/control), observational studies, cohort studies, propensity score matched studies, and actuarial pre-post studies.

Designed and led economics and healthcare services modeling studies and to evaluate data on effectiveness of health programs. Counseled public health experts regarding economics-related issues and provided technical assistance in epidemiology to the Epidemic Intelligence Service through the CDC and state health departments.KEY ACCOMPLISHMENTS:• Evaluated efficacy of federally funded and state-run cancer programs developed from CDC matching grants.• Analyzed multivariate pharmacy and medical claims data from tens of millions of covered lives, including 13,000 diagnosis codes and nearly 9,000 procedure codes.• Met Division of Cancer Prevention and Control goal by publishing peer-reviewed journal article on costs of cervical dysplasia and cervical cancer.• Received Special Service Award from US Department of Health and Human Services

• Instructor of: Econometrics, Principles of Macroeconomics, Intermediate Macroeconomics, Environmental Economics, and Intermediate Microeconomics.