DATA
OVERVIEW
Data is the foundation of my work. Using methods like multivariate analysis and natural language processing, I turn raw information into insights that are easy to understand and interpret.
MY PROCESS
My data process involves cleaning, analysis, and visualization. I work in R, SQL, and Python to filter messy inputs, build statistical models, and extract meaningful trends. From there, I use Tableau, custom dashboards and custom visualizations to show findings in ways that are both clear and pleasant to look at.
WHAT YOU GET
The outcome is data that tells a story. You’ll see visualizations that highlight pain points, statistical evidence that validates decisions, and research-backed recommendations for design improvements. Explore more of my work on GitHub for code samples and project repositories.
