Prakriti Shrestha

Cleaned, managed, merged, and analyzed large patient-level and environmental datasets in R to examine air pollution patterns and stroke severity, with attention to data quality and reproducible workflows.

Led weekly epidemiology recitations, facilitating discussion and translating complex quantitative and methodological concepts into accessible explanations. Worked individually with students to identify areas of confusion and adapt explanations to different backgrounds and learning styles.

Conducted data quality audits and statistical analyses using longitudinal cohort data, identifying data issues and documenting analytic decisions. Contributed to manuscripts and conference presentations, communicating technical findings to audiences with varied research expertise.

Helped design and administer a county-wide community survey using Qualtrics, coordinating data collection and monitoring responses. Analyzed and synthesized survey findings into concise data briefs, visualizations, and presentations for county leadership and community stakeholders.

Supported multidisciplinary health services and policy research evaluating HIV and tuberculosis interventions, collaborating with physicians, health economists, statisticians, researchers, and international partners. Conducted background research, synthesized evidence, and served as a primary analyst on cost-effectiveness projects.

Master of Public Health in Applied Epidemiology, with a capstone analyzing HPV infection and hypertension among U.S. women using SAS.

Grade: 3.93/4.00, Magna cum laude

Bachelor of Arts in Data Science and Biology, graduated Magna cum laude with a GPA of 3.93/4.00.