● Developed a transformer model to predict chemical reactions, achieved > 90% test accuracy
● Built data cleaning and gradient boost regressor to predict molecule solubility using Sklearn and Pandas,
achieved > 90% F1 score on an unbalanced dataset
● Contributed generative adversarial network modules to internal codebase