Teaching Assistant, UT Austin
Data Science Lab
Conducted weekly lab sessions and held office hours for ~100 students. Covered topics like Predictive modeling, Regression and Classification, Feature engineering, Principal Component Analysis, Data clustering, Model selection and feature selection, Entropy and Information theory, Neural Networks and Deep Learning, including applications to Computer Vision and Natural Language Processing.