• Building ML models with research team using Python & Scikit-learn to predict which YouTube videos will trend• Explored data with Matplotlib; engineered features using NLP & one-hot encoding; fine tuning a DNN model• Understand factors that contribute to a video’s viral potential to improve YouTube’s recommendation strategy

• Selected from 3000+ applicants for Break Through Tech AI, a year-long fellowship program including an intensive ML course, experiential learning projects, and mentorship from industry professionals

• Developing a new duplication network to model spatial correlations in human brain networks• Formulated original probabilistic metrics to capture self-edge and cross-edge correlations in spatial networks

• Conduct research to investigate impact of pharmaceutical companies’ financial health on clinical trial diversity• Deploy Python extensively to build and analyze 200+ variables dataset using Pandas & NumPy; develop data visualizations and statistical analysis in RStudio with significant preliminary results• Utilize BeautifulSoup for web scraping to collect clinical trial data from numerous sources; navigate financial data sources such as Capital IQ and Compustat

• Lead weekly experiments on the motivational theory of role modeling in women and leadership• Clean experimental data; plan and execute behavioral coding to model leadership characteristics for quantitative and qualitative analysis; conduct ANOVA analysis using SPSS• Presented poster at 2023 Western Psychological Association Conference

• Year-long Women in Leadership Development Program

• Tutor students in Introduction to Computer Science for four hours weekly• Grade coding and personal response assignments with detailed feedback

• Evaluate impact, analyze data, and modify evaluation tools for Literacy for Environmental Justice, a social impact organization in San Francisco that provides programming in urban greening, apprenticeship, and nature adventures