Projects

My data science/data analysis projects, mainly executed using Python, SQL, and Dash.

Bayesian Inverse Problems for ODE Systems under Model Misspecification

Exploring Model Misspecification, Parameter Identifiability, and Posterior Uncertainty in Bayesian Inverse Problems for the Lotka–Volterra and SIR Models

Privacy Auditing of Synthetic Data Generation Models Using Adversarial Attacks

Thesis Research for Master of Science in Statistics

Hyperparameter Tuning for Gradient Boosting Frameworks Using Statistical Experimental Design

Applying Advanced Experimental Designs to Optimization of Hyperparameters in XGBoost

Founding Fathers Correspondence Network Analysis

An interactive application, built in Python using Dash, for exploring and visualizing historical/political correspondence trends in early American history

Play-by-Play NBA Analytics Dashboard

An interactive application, built in Python using Dash, for exploring and visualizing NBA play-by-play data and video

Dimensionality Reduction Techniques in NLP

Exploring Use of Singular Value Decomposition to Reduce High Dimensionality in Logistic Regression Models for Text Classification

Overview of Machine Learning Methods for Text Classification

An Empirical Comparison of Common Classification Models Applied to Topic Distinguishing Problem