Machine Learning Research Intern @ UCSD San Diego Supercomputer Center (SDSC). Summer 2019, 2020
Developed machine learning models to classify support tickets using Decision Trees, Naive Bayes, and SVMs. Improved classification accuracy by 15% over the existing solution using domain-specific data. Implemented models in base Python libraries and Scikit-learn.