MS Data Science candidate at Vanderbilt University — building machine learning systems that turn raw data into real-world decisions.
I'm a Data Science graduate student at Vanderbilt University's Data Science Institute with a mathematical foundation from the University of Washington (BA Mathematics). I thrive at the intersection of rigorous analysis and practical impact — turning complex datasets into systems that businesses can actually use.
From training MobileNetV3 classifiers on 1M+ field-service images to fine-tuning Whisper on LIGO gravitational-wave data, I've learned to move fast on ambiguous problems while keeping an eye on production readiness.
Outside of data, I bring the adaptability and grit from years of bartending and event service — skills that translate directly into stakeholder communication, tight deadlines, and cross-functional teamwork.
I'm currently open to full-time data science and ML engineering roles. Based in Nashville, TN — open to hybrid and remote opportunities.
predictions_data for front-end use; scheduled as a Kaggle notebook."Let's turn your data into something that actually works."