Builder / creator.
Projects
Engineering
earnings-signal-pipeline
Checks whether the tone of earnings calls predicts stock moves.
Problem
Signals from language are hard to trust unless they line up with actual price moves.
What I built
A model trained on earnings-call language, joined with stock data to see if tone actually predicts how the stock moves.
PythonFinBERTPostgreSQLPolygon.ioFlaskPlotly
Outcome
86% accuracy, packaged as a small, self-contained example of using language data in finance.