Moein Eshfagh

Moein Eshfagh

Senior Business Intelligence Analyst
Name Pronunciation “mo-EEn”
Pronouns He/him/his

Moein Eshfagh has extensive expertise in data analytics and business intelligence (BI), and he is a subject matter expert in architectural design and development of analytics pipelines. He has years of experience helping clients in various industries with a variety of BI solutions, including Tableau, PowerBI, AWS QuickSight, Google Looker and Qlik.

Since joining Mathematica in 2022, Eshfagh has worked on a range of projects, including for Medicare and Medicaid and in state health. Currently, he serves as a BI consultant and subject matter expert for the Medicaid and CHIP Learning Collaboratives’ public health emergency unwinding, for which he supports the Centers for Medicare & Medicaid Services and states in unwinding from the Medicaid continuous enrollment condition. Eshfagh has developed dashboards and reports for the Connecticut Office of Health Strategy to help state officials monitor health care spending. He has also developed reports and dashboards to help the Centers for Medicare & Medicaid Services in its focus on opioids, social determinants of health, long-term services and supports, and use of the Medicaid Access Payment Rate Comparison Tool.

Before joining Mathematica, Eshfagh served as a data analyst and business intelligence developer at Dovel Technologies, assisting the Centers for Disease Control and Prevention with its analytics needs for the Grant Solutions Management platform and serving more than 20 federal government agencies focusing on their grant management and monitoring systems. He holds an M.S. in business analytics from the University of Maryland Smith School of Business and has served as an advanced analytics intern at Johns Hopkins Medical Center in Baltimore.

Expertise
  • Data analytics
  • Data visualization
  • Business intelligence
  • Data engineering
Focus Area Topics
  • Health Information Technology and Analytics
  • Medicare
  • Medicaid and CHIP
  • State Health Policy

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