School of Humanities and Sciences
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Masters Student in Statistics, admitted Autumn 2022
BioI am pursuing an M.S. in Statistics Data Science at Stanford University (with coursework in Statistics, Computer Science, and Computational and Mathematical Engineering). Before Stanford, I graduated summa cum laude with a B.S. in Statistics from the University of California, Los Angeles (UCLA). I am a Data Science Intern with Bridg working on data querying, natural language processing (NLP), and machine learning with Python, SQL, and Snowflake on terabytes of data (over 100 billion observations) to improve insights on product descriptions and feature standardization across various sources.
During my senior year at UCLA, I was a Data Analyst Intern with SCAN Health Plan performing NLP and unsupervised learning (agglomerative clustering) in Python to analyze call center data while also creating Tableau dashboards. I also was a Data Science Consultant with UCLA’s Data Science Center, working as a consultant to meet ad-hoc and long-term requests from clients in varied fields. Additionally, I was the president of Bruin Sports Analytics, combining sports and analytics by guiding our data journalism, research, and consulting teams to produce deliverables for sports fans and UCLA’s intercollegiate teams.
I am always willing to discuss potential work opportunities or my path with prospective undergraduate or graduate students or data science enthusiasts. Feel free to contact me via email, LinkedIn, or my personal website.