Deepa Dongarwar

Deepa Dongarwar is a Senior Health Data Scientist at Inovalon, where she leverages her extensive expertise in biostatistics, data science, and advanced healthcare analytics. She conducts sophisticated analytic modeling to empower clients in life sciences and across healthcare to make informed business decisions that enhance quality and reduce costs.

With a strong background in predictive modeling and advanced statistical methods, along with a comprehensive understanding of healthcare systems, Deepa provides valuable insights, solutions, and decision-support tools for Inovalon’s clients. Her proficiency extends to addressing complex scientific and strategic challenges in various areas of Health Economics and Outcomes Research (HEOR).

Prior to joining Inovalon, Deepa spent seven years at University of Texas Health Sciences Center Houston and Baylor College of Medicine where she led the design, management, and execution of real-world evidence (RWE) and observational research studies, utilizing publicly and commercially available health data sources as well as electronic health records (EHRs). She also contributed to statistical analyses in clinical trials and various health grants. With a robust publication record, Deepa has made significant contributions to the understanding of social determinants of health (SDOH), maternal and child health, and health equity research by integrating advanced data science techniques into clinical and epidemiologic studies.

In addition to her role as a data scientist and biostatistician, Deepa is dedicated to mentoring clinical faculty, fellows, residents, post-doctoral researchers, and medical students in biostatistics and clinical research methods.

Deepa holds a Bachelor of Engineering in Computer Engineering from Nagpur University, India, and a Master of Science in Data Analytics from the University of Houston-Downtown.