R

Predicting the Dow Jones Industrial Average with Sentiment-Enhanced LSTM Models

Project demonstrating the efficacy of LSTM models in enhancing prediction of stock indexes such as the DJIA. Tools Used: Python, R

Hidden Markov Model for Part-of-Speech Tagging Tasks

Literature review and application of Hidden Markov Model methods to the Penn Treebank dataset for STATS 230: Statistical Computing Methods. Tools Used: Python, R

Guest Lecturer: STATS 295 - Special Topics in Machine Learning

Guest lecturer for STATS 295, a graduate-level special topics course in machine learning.

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Spencer Hilligoss

The Lasting Impact of HOLC Redlining on Minorities in New York

Short research paper completed as part of the PREDOC Summer Program 2022 at Harvard University’s Opportunity Insights, a data analytics training course directed by economists Raj …