Los Angeles, California, United States
I am an industry data scientist turned CS PhD candidate, currently working at the intersection of machine learning and optimization for biodiversity at the USC Center for AI in Society. Most of my research revolves around leveraging AI for counter-wildlife crime and general species monitoring. However, my prior experience has touched on building and improving species identification for wildlife monitoring of lesser-known species, analyzing public attitudes of endangered species on social media leveraging LLMs, and improving methods for predicting wildlife trafficking hotspots and paths around the globe.
Assistant Head TA for CSE 6242: Data and Visual Analytics where I collaborate with a global team of 30+ instructors to support 1,100+ students each semester. I lead office hours to answer student questions and address pain points and guided student teams and provide meaningful feedback on their data science projects.
Member of Georgia Tech's Animal Computer Interaction Lab under Dr. Melody Jackson. Researching the cross section of computing and biodiversity conservation.
Graduate teaching assistant for CSE 6242: Data and Visual Analytics where I collaborate with a global team of 30+ instructors to support 1,100+ students each semester. I lead office hours to answer student questions and address pain points and guided student teams and provide meaningful feedback on their data science projects.
Utilized PostgreSQL, Excel, and Python to perform large scale exploratory data analysis and improved data quality by 55% for data set of 4 million records. Performed logistic regression analysis in Python to predict at-risk patients for developing diseases treated with drugs created by customers with 93% accuracy. Collaborated with pharmaceutical clients to analyze data to match particular needs. Created visualizations in Superset to communicate findings internally and with clients.