Statistics and computer science student at George Washington University, graduating May 2027. I focus on quantitative methods — regression, time series, Bayesian inference, and experimental design.
A production-ready package for discovering chaotic attractors through stochastic parameter search. Implements 9 dynamical systems with multi-stage statistical filtering to identify chaotic behavior across parameter space, plus a publication-quality visualization system with custom colormaps and automated equation rendering. Built with 50+ unit tests and a CLI.
View on GitHubAn intervention analysis quantifying the impact of competitor market entry on weekly cereal sales. Uses a regression model with ARIMA(1,0,1) errors to detect a structural break, with a full diagnostic testing suite covering autocorrelation, heteroscedasticity, normality, and stationarity. Includes 10-week forecasts with prediction intervals, documented in a reproducible R Markdown report.
View on GitHubBS Statistics & BA Computer Science, Mathematics Minor
George Washington University, Class of 2027
Statistics GPA: 3.90 · Overall GPA: 3.83
Coursework includes Bayesian Statistics, Time Series Analysis, Mathematical Statistics, Design of Experiments, Sampling, Data Structures and Algorithms, Linear Algebra, and Database Systems.