Eliana Squire supports RSG’s market research and forecasting work with a strong foundation in economics and data analytics. She applies expertise in statistical modeling, forecasting, and data visualization to projects that inform transportation planning and investment decisions. Her technical skills include R, SQL, and Python, which she uses to analyze data and develop tools that support client goals.
At RSG, Eliana has contributed to national and regional projects involving toll forecasting, origin-destination studies, and service planning. Her experience includes risk analysis using Monte Carlo simulations, the development of forecasting tools, and synthesis of survey and literature review data to support airport and rail planning.
Eliana is known for her analytical precision and ability to translate complex datasets into actionable insights. She is committed to applying her skills in support of evidence-based decision-making.
Education
- MS, Economics, University of Oregon
- BS, Economics, University of Oregon
