Mathematics & Data Science student with hands-on experience building enterprise-grade analytics solutions — from churn prediction and KPI frameworks to executive dashboards and AI automation.
I'm a Mathematics major with a Data Science concentration at Austin Peay State University, maintaining a 3.9 GPA and graduating Fall 2026. My work sits at the intersection of rigorous statistical methods and real business impact.
I build end-to-end analytics solutions — from raw data wrangling and predictive modeling to executive dashboards and ROI-driven recommendations. I'm especially interested in enterprise AI strategy, where data science creates measurable client value.
Beyond the numbers, a background in interpretation and executive support has sharpened my ability to communicate complex ideas clearly to any audience — a skill as important as the models themselves.
An IBM-style consulting project delivering customer churn prediction, KPI development, revenue forecasting, executive dashboards, risk analysis, and investment scenario modeling — built to support C-suite decision-making on a simulated enterprise dataset.
What I built: Multiple ML classification models for churn prediction; a multi-dimensional executive KPI scorecard; time-series forecasts for revenue, customer growth, support volume, and churn rate; ROI-based scenario modeling across three strategic investment options; and a full executive dashboard.
Multi-model regression analysis with diagnostics and statistical inference — demonstrating applied econometric methodology in R.
View on GitHubExploratory analysis of aircraft accident data, with data cleaning and publication-quality visualizations using Tidyverse.
View on GitHubEnd-to-end NLP pipeline classifying customer review sentiment — from feature engineering to model evaluation.
View on GitHubQ-learning agent trained to navigate a maze using reward and penalty signals — illustrating foundational RL concepts.
View on GitHubSwiftUI iOS app with speech recognition and AI-assisted session summaries — full-stack product development from scratch.
View on GitHubConversational Python chatbot answering Pokémon queries, strengths/weaknesses, and battle predictions using NLP techniques.
View on GitHubOpen to roles in data science, enterprise analytics, and AI consulting. I'd love to discuss how I can contribute to your team.