I'm a data analyst with 3 years of experience in hypothesis driven research with strong skills in data-wrangling, statistical analysis, and data visualization.

I'm currently a Data Analyst at wikiHow and am responsible for analytical projects such as A/B tests, automated analytics reporting in R Shiny, and evaluating content performance. I've worked in a wide-range of data driven roles such as an undergraduate researcher in applied statistics at UCLA, a data analyst intern at General Mills, a research assistant at Stanford, and an intern at NASA Ames.

I'm interested in opportunities at technology, social media, and data oriented companies to apply my skills in data analysis and programming. I'm well-versed in Python, R, SQL, Excel and at learning new tools on the job. I enjoy working with both technical and non-technical stakeholders and love a good challenge.

My passion for data, design and coding is a perfect combination for all types of data visualization. By contributing to challenges such as TidyTuesday, I'm constantly strengthening my skills in design and reproducible data visualization with {matplotlib} and {seaborn}. I'm also comfortable with visualizing data using R Shiny and {ggplot}.