Led a project on predicting future hip and spine fractures using nine different prediction algorithms, achieving a training AUC of 76.3% and a test AUC of 80.6% for 5-year predictions with logistic regression classifier- Pre-processed lab test data from 109,228 patients to create input table for machine learning models- Utilized PyCaret to train models and analyze feature importances for best-performing models- Co-authored two abstracts and two posters presented at the ORS 2024… Show more Led a project on predicting future hip and spine fractures using nine different prediction algorithms, achieving a training AUC of 76.3% and a test AUC of 80.6% for 5-year predictions with logistic regression classifier- Pre-processed lab test data from 109,228 patients to create input table for machine learning models- Utilized PyCaret to train models and analyze feature importances for best-performing models- Co-authored two abstracts and two posters presented at the ORS 2024 Annual MeetingBuilt data ingestion pipeline for a bone fracture prediction project using two popular convolutional neural networks (ResNet50 and EfficientNet B0, B2, B4) trained on chest x-ray images under guidance of Dr. Rajapakse- Achieved validation accuracies from 70-82% and validation AUCs from 75-86% across all models- Co-authored abstract that was accepted for publication at the IEEE ISBI 2024 conference Show less

Analyzed reviews of various beer brands under supervision of Dr. BergerUsed Python and R to measure and visualize how reviewers’ language changes as they gain experience with review writing

Assisted patrons with checking out, returning, and locating booksOrganized returned items for re-shelvingPulled books from the library stacks to fulfill requests made through various library services

Handled orders at concession standPrepared and served a variety of hot foodsRestocked materials as neededGreeted guests, scanned tickets, and directed them toward their theater