Shruti Nair

I’m an aspiring data analyst focused on healthcare and clinical-trial data, bringing hands-on knowledge of the drug development process in phase I to phase IV clinical trials. I understand CDISC SDTM domains and how study documents like the SAP (Statistical Analysis Plan) and CRF (Case report Form) guide compliant analysis.

I’ve worked with clinical SAS programming, including merging SAS datasets and preparing/manipulating data using SAS/BASE, SAS/SQL, and SAS/MACROS. I’m also comfortable using SAS procedures such as Proc Print, Proc Sort, Proc Means, Proc Transpose, Proc Compare, Proc Import, and Proc Export, along with ODS, Proc Format, and Proc Informat.

On the analytics side, I use SQL and R to transform and analyze data, leveraging dplyr for mutate, filter, select, arrange, summarize, group_by, and joins. For visualization, I work with ggplot2 (histograms, boxplots, scatterplots, bar charts) to communicate insights clearly.

I aim to help teams turn structured clinical data into dependable, decision-ready outputs—whether that’s building SDTM domains in accordance with CDISC standards or supporting practical healthcare analytics using Power BI and machine learning approaches.