Summary
Jyoti Kumar is a dedicated data analyst and researcher with a strong biostatistics foundation and 13 years of experience supporting health research. As a Research Assistant at Columbia University Mailman School of Public Health, she leads quantitative analyses, data cleaning, visualization, and statistical modeling for complex longitudinal datasets, including a radiation cataract mouse study. Her expertise spans data wrangling, optimization, visualization, R, SQL, and Python, with a keen eye for distinguishing significant events from outliers to derisk projects. She has experience in Health Economics, stakeholder risk assessment, and ROI concepts, complemented by foundational training in financial management and budgeting. A former mathematical physicist turned data scientist, she blends rigorous analytics with interdisciplinary leadership, including active involvement in Women in Science at Columbia and interprofessional education initiatives. Based in New York, she earned an MS in Biostatistics from Columbia and a BS in Biology from NC State, positioning her to translate data into strategic decisions in health research.
13 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Biology/Biological Sciences, General, Bachelor of Science - BS, Biology/Biological Sciences, General at North Carolina State University
Master of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at Columbia University Mailman School of Public Health