2022 - Present

Data Analyst Intern at St. Jude

● Leveraged data from SQL databases to create real-time visualizations of budgeting, event trends, and donor demographics in Tableau, resulting in improvements of event planning processes. ● Utilized unsupervised techniques to cluster different levels of donors in St. Jude programs, leading to more personalized outreach. ● Refined retention models by creating submodels for instrumental variables

2021 - 2022

Data Scientist at ASUCD

● Facilitated strategic discussions about program priorities by implementing quarterly surveys and visualized results in R Shiny to analyze the quality of food programs. ● Employed random forest and KNN models in R to identify programs that assist vulnerable patrons by modeling their dependency on the pantry.

2021 - 2022

Data Science Intern at Davis Sensory Institute

● Performed parametric and non-parametric comparison tests in R to analyze whether certain attributes of hygiene products have significantly different ratings. ● Improved current hypothesis testing metrics by emphasizing the use of non-parametric ANOVA test

2023-present

Data Analytics Manager at Silicon Valley Education Foundation

Developed reports in Tableau, statistical tests in Python/R, and designed surveys to tell the organization's overall impact on students, leading to an increase in partnered school districts from 26 to 29, and supporting the acquisition of 30+ grants and $900K+ in donations. Spearheaded a long-term alumni data initiative to assess the impact of SVEF programs on student outcomes, leading initial SBAC score analyses in Python and Tableau, designing a predictive ML model prototype, and setting the strategic foundation for future longitudinal research. Automated and improved data processing workflows through Salesforce management, leveraging Python and Tableau Prep to optimize reports and ensure accurate student, teacher and parent data.