Using advanced regression to find underpriced stocks using income statement and balance sheet data.
A fast, parallelized Spark clustering and search tool for a dataset of over 36,000 scholarly articles.
Time series prediction of COVID-19 cases given the government measures passed using BERT embeddings in a seq2seq model.