Rachana Seelam is a research programmer at RAND in the Data Science and Technology Group. She works primarily in SAS to manage, clean, and analyze data on a variety of health- and well-being–related projects. Her recent project work has included studying longitudinal associations between substance use and well-being across multiple domains in a young adult population in Southern California; evaluating intervention effects of a physical activity program among churchgoers in a primarily Hispanic/Latino population in Los Angeles; studying the effects of an intervention to improve mental health outcomes among Latino churchgoers in Los Angeles; and evaluating various domains related to the effects and aftermath of natural disasters on a population residing in the Gulf of Mexico region.
Seelam's range of analytic and programming expertise includes managing and analyzing longitudinal data using complex analytic techniques, performing various types of univariate and multivariate regression analyses, and producing clean datasets/output for others' use. She has worked with survey data her entire career and is well-versed in the analysis of survey and longitudinal data. She holds an M.P.H. in epidemiology from Columbia University and a B.A. in biology and psychology from the University of Southern California.
M.P.H. in epidemiology, Columbia University; B.A. in biology, psychology, University of Southern California (USC)
SAS
