Westat data scientists tackle large-scale data problems dynamically using the latest AI, machine learning (ML), and natural language processing (NLP) techniques to obtain results. Our suite of innovative database platforms and computational tools enables us to collect, store, and analyze myriad data types from a wide range of data sources; explore and display data sets of any scale; and solve problems with notable accuracy through predictive analytics.
AAA Foundation for Traffic Safety
Baltimore Metropolitan Council
Centers for Disease Control and Prevention
Centers for Medicare & Medicaid Services
Chicago Metropolitan Agency for Planning
DC Public Schools
Georgia Department of Transportation
Internal Revenue Service
Leadership Montgomery
Maryland Cancer Registry
Michigan Department of Health and Human Services
National Science Foundation
NYC Mayor’s Office for Economic Opportunity
Organization for Economic Cooperation and Development
Robert Wood Johnson Foundation
SiriusXM
Social Security Administration
Substance Abuse and Mental Health Services Administration
Teach for America
Texas Education Agency
The Johns Hopkins University
The National Institutes of Health
The Verizon Foundation
Toyota
U.S. Department of Agriculture
U.S. Department of Education
U.S. Department of Health and Human Services
U.S. Department of Justice
U.S. Department of Transportation
U.S. Department of Veterans Affairs
University of Maryland Baltimore Campus
University of Michigan
University System of Maryland
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