Get to know me

About Me

Healthcare analytics, production machine learning, and performance science, connected by a focus on building useful systems.

Jonah Zembower

Healthcare is no longer just about medicine; it’s about the data that guides it.

I build data products that turn complex clinical and operational information into decisions people can use. At Carnegie Mellon, I am pursuing an MS in Health Care Analytics & Information Technology while working across production ML, predictive modeling, and healthcare business strategy.

My recent work includes production model monitoring and clinical AI at Highmark Health, payment-plan modeling and automated BI workflows at ARxChange, and an operations dashboard at Walmart ACC 7377 that generated an estimated $6,000 in first-week savings.

I bring an interdisciplinary foundation in data science and exercise science, which helps me move comfortably between technical, clinical, and operational teams.

Explore my work View experience

At a glance

Experience, education, and technical range

Experience

  • Highmark Health: Data Scientist Intern (Summer 2026)
  • ARxChange: Data Analyst (2026)
  • Walmart ACC 7377: Operations Management Analyst Intern
  • Brigham & Women's / Harvard Medical: Research Collaborator
  • Peak Performance Biomechanics: Biomechanical Data Specialist

Tech

  • Languages: Python, R, SQL, Java, JavaScript, Swift
  • ML / DL: Scikit-learn, XGBoost, PyTorch, TensorFlow, Hugging Face, Elastic Net
  • Data & Lakehouse: Pandas, NumPy, BeautifulSoup, Databricks, Lakehouse Architecture
  • Streaming & MLOps: Apache Kafka, Load balancing, MLflow, DVC (Data Version Control), Prometheus, Grafana, Docker, Container Orchestration
  • Web / APIs: FastAPI, Django REST Framework, Web Scraping, LLMs
  • Cloud: AWS (S3, QuickSight, Quick Suite), Google Cloud Platform (GCS, BigQuery), Apple Developer
  • Viz & BI: Tableau, Plotly, Matplotlib, Seaborn, Microsoft Power Apps
  • Storage: PostgreSQL, MongoDB, Microsoft SQL Server, Parquet
  • Source / DevOps: Git, GitHub, Bitbucket

Undergraduate

  • BS Data Science: Computational Analytics
  • BS Exercise Science: Health / Fitness
  • DII Men's Soccer Player
  • Seton Hill University, Magna Cum Laude (May 2025)
  • Data Science Achievement Award (2023 & 2024)
  • Data Science coursework: Programming Math/Engineering · Advanced Data Science · Database Management Systems · Machine Learning · Algorithms Analysis · Calculus I–IV · Applied Statistics and Modeling · Mathematical Modeling · Graph Theory · Linear Algebra
  • Exercise Science coursework: Medical Terminology · General and Organic Chemistry · Strength Theory · Physiology of Sport and Exercise · Human Anatomy · Physics · Testing and Exercise Prescription · Clinical Exercise Physiology

Graduate

  • MS Health Care Analytics & IT: Carnegie Mellon, Heinz College (expected May 2027)
  • Honors: Fall 2025 Outstanding QPA (Heinz College)
  • Activities & societies: Heinz Sports Analytics Club, Heinz AI Club, Data Science Club, NOVA AI Hackathon, CMU Hackathon, USC Big Data Health Science Case Competition, UN Databricks Hackathon
  • Coursework: Generative AI for Biomedicine · Natural Language Processing · Deep Learning · Health Care Information Systems · Health Economics, Applied Econometrics · Machine Learning in Production – AI Engineering · Machine Learning with Python · Optimization and Decision Modeling Analytics · Database Management for Policy and Analytics · Health Systems, Health Policy · Data-Focused Python, EDA and Data Visualizations