Tulane MPH Epidemiology | R/SAS/REDCap | Statistics

Yashvee R.

I hold a Master of Public Health in Epidemiology from Tulane University (May 2025) and an MBBS from India, giving me a unique blend of clinical insight and advanced analytic training that I bring to every tutoring session. During my NOLA Maternal & Child Health Coalition fellowship, I conducted epidemiologic analyses on over ten maternal health indicators using R and SAS, identified disparities across populations, and translated findings into policy scorecards that directly shaped the MAMA+ Health Policy Agenda. At Tulane, I led a PRISMA-compliant systematic review on global hypertension disparities, screening and extracting data from more than a hundred studies in Covidence and REDCap while collaborating on a manuscript under BMJ peer review. My CARDIA Study work involved validating over 100,000 observations in NHLBI datasets, sharpening my skills in longitudinal cohort analysis, data cleaning, and cardiovascular risk modeling. These projects taught me not only how to manage complex datasets but also how to teach others to do the same—breaking down hypothesis testing, regression modeling, and data visualization into clear, actionable steps.

I tutor graduate and pre-med students one-on-one via Zoom or in person in New Orleans, focusing on biostatistics, epidemiology methods, R/SAS programming, REDCap database design, and IRB-compliant research practices. My approach is hands-on: we start with your specific assignment or dataset, walk through the code line by line, and build reproducible workflows you can use immediately. I’ve guided MPH candidates through cohort study design, helped pre-med students master p-values and confidence intervals for USMLE prep, and supported public health professionals in creating publication-ready figures in ggplot2.