Data Science for Financial Markets
Selected Projects
Mining Features from Massive Comment Datasets
Predicting retail trader activity through Natural Language processing across more than 700 million Reddit comments. Accomplished via PySpark, with elements of the pipeline done in both AWS and Azure ecosystems simulatenously.
Encoding Atomic Environments with Pytorch
Building a Python package (TorchMole)
Archived Item 1
Can we use deep learning models to identify market conditions where particular statistical models are more effective? Such that the overall performance of a simple statistical ensemble will increase? an we use deep learning models to identify market conditions where particular statistical models are more effective? Such that the overall performance of a simple statistical ensemble will increase? an we use deep learning models to identify market conditions where particular statistical models are more effective? Such that the overall performance of a simple statistical ensemble will increase? an we use deep learning models to identify market conditions where particular
Building an Engaging Hypercasual Roblox Game
Can we use deep learning models to identify market conditions where particular statistical models are more effective? Such that the overall performance of a simple statistical ensemble will increase?
Forecasting Volatility with Nontraditional Data
Can we use deep learning models to identify market conditions where particular statistical models are more effective? Such that the overall performance of a simple statistical ensemble will increase?
Boosted Trees for Reddit Comment Analysis
Evaluating the impact of
Automating my ETF Portfolio
Building a ShinyApp web application to automate all of the rebalancing, tax-harvesting, and routine buying required to manage my ETF portfolio.