DATA
OVERVIEW
Data is the foundation of my work. I apply methods like multivariate analysis and natural language processing to transform raw information into clear, actionable insights that drive design and product decisions.
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
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.
