AI · Data · Tech Consulting. MSE in Data Science at UPenn, focused on using data and AI to solve real client problems in places where they haven't been used before.
Joining the Wharton AI & Analytics Initiative to work with Accenture on how agentic AI is reshaping skill demand and workforce strategy across industries.
Built a team of AI agents at Mortenson that automates the time-intensive process of putting together project proposals, turning a job that used to eat up an entire work week into one that takes about two hours.
Delivered end-to-end data science solutions at Mortenson, building machine learning pipelines, a Flask app for executives, and Fabric and Power BI analytics to improve labor forecasting and financial decisions.
Led a research project resulting in a peer-reviewed publication demonstrating that LLM coding performance is often driven by memorization rather than reasoning, using ELEET—an automated evaluation framework I built to run large-scale, reproducible benchmarks across modern language models.
Built a full-stack app for veterans in stand-up wheelchairs that converts accelerometer data into precise angles and positioning/standing visuals, recognized with SCU’s REAL Award.
Published at HIBIBI 2026. DOI and online proceedings forthcoming.
We show that LLMs' apparent success on coding problems is better explained by memorization than reasoning, using recency effects and prompt perturbations on LeetCode questions.
Analyzed how Reddit investor sentiment aligns with stock market behavior using NLP and time series analysis.
Analyzed how Reddit investor sentiment aligns with stock market behavior using NLP and time series analysis.
Flask web app that delivers personalized motivational messages, haikus, images, and music based on user mood.
Flask web app that delivers personalized motivational messages, haikus, images, and music based on user mood.
Tableau analysis of Kaggle’s Titanic dataset to surface survival patterns by class, gender, and age.
Tableau analysis of Kaggle’s Titanic dataset to surface survival patterns by class, gender, and age.
Modeled wine quality using seven supervised ML algorithms with cross-validation and grid search.
Modeled wine quality using seven supervised ML algorithms with cross-validation and grid search.
Predicted NBA draft likelihood using SCU athletes’ performance and combine metrics.
Predicted NBA draft likelihood using SCU athletes’ performance and combine metrics.
Designed a MySQL schema to manage enrollments, students, professors, departments, and courses.
Designed a MySQL schema to manage enrollments, students, professors, departments, and courses.
Statistical analysis pipeline and relational database for multi-year ultimate frisbee data.
Statistical analysis pipeline and relational database for multi-year ultimate frisbee data.
SwiftUI app with Firestore backend for rapid alerts and live location sharing with selected contacts.
Desktop social networking prototype with friend suggestions and messaging.
Desktop social networking prototype with friend suggestions and messaging.
Cleaned, repaired, and visualized complex brain scan data; modeled dementia indicators.
Cleaned, repaired, and visualized complex brain scan data; modeled dementia indicators.
Trained six classifiers for baseball prediction with dimensionality reduction and tuning.
Trained six classifiers for baseball prediction with dimensionality reduction and tuning.