Casey Palmisano

About Casey Palmisano

I’m a data scientist with a nonlinear path — from classical musician and business owner to ML engineer and healthcare innovator. That journey shaped how I approach data: creatively, pragmatically, and with a deep appreciation for the human decisions behind the numbers. Over the past several years, I’ve focused on applying machine learning and generative AI to high-friction, high-impact problems in healthcare — from predicting patient eligibility and claim success to building triage prioritization systems and GenAI-powered clinical summaries. My work has spanned payor systems, wellness platforms, and virtual care, where I’ve developed models and pipelines that directly improved access, automation, and patient engagement. I specialize in building production-grade ML systems — classification, regression, lead scoring, recommendation, uplift modeling — and have experience deploying them across modern data stacks (Snowflake, Databricks, AWS, etc.). I’ve worked extensively with NLP and LLMs to summarize care plans, classify intake notes, and optimize communications, while also contributing to experimentation strategy and A/B testing infrastructure. With a Master’s in Analytics and a focus on Machine Learning from Villanova, I bridge the technical and operational — translating complex model behavior into strategic action for business, product, and clinical teams. I’m especially drawn to work where ML doesn’t just make systems smarter — it makes them more human, more scalable, and more responsive to those who rely on them most.

Experience

1. Data Scientist

   Equinox

   Feb 2025 — Present · US

Education

• University of Missouri-Columbia

  Master of Music

  2008 — 2011

• Villanova University

  Masters

  2019 — 2021

• University of Tulsa

  Bachelor of Music

  2003 — 2007