About — Jonah Zembower

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, Tidyverse, BeautifulSoup, Databricks, Apache Spark SQL, Lakehouse Architecture
Streaming & MLOps: Apache Kafka, MLflow, DVC (Data Version Control), Prometheus, Grafana, Docker, Container Orchestration
Web / APIs: FastAPI, Django REST Framework, Web Scraping, Recommender Systems (Sentence-Transformers), LLMs
Cloud: AWS (S3, QuickSight, Quick Suite), Google BigQuery, Apple Developer
Viz & BI: Tableau, Looker Studio, Plotly, Matplotlib, Seaborn, Microsoft Power Apps
Storage: PostgreSQL, MongoDB, Microsoft SQL Server, MySQL, 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)

Graduate

MS Health Care Analytics & IT — Carnegie Mellon, Heinz College (expected May 2027)
Honors: Fall 2025 Outstanding QPA (Heinz College)
Recent work: NFL Big Data Bowl 2026 (Heinz Sports Analytics), UN × Databricks Hackathon, USC Big Data Health Case Competition (MSK Shared Decision Making)
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: Health Care Information Systems · Machine Learning with Python · Machine Learning in Production / AI Engineering · Optimization & Decision Modeling Analytics · Data-Focused Python · EDA & Data Visualizations · Database Management for Policy & Analytics · Health Systems · Health Policy · Applied Econometrics

Healthcare is no longer just about medicine — it’s about the data that guides it. I believe hidden within millions of data points are the insights needed to save lives, streamline care, and build a more accessible healthcare system. That belief is what drives everything I work on.

Currently, I’m turning this vision into practice as I pursue my Master of Science in Health Care Analytics & Information Technology at Carnegie Mellon University (expected May 2027). I pride myself on my adaptability — whether I’m architecting complex data pipelines, modeling clinical disease progression, or navigating the business strategy of healthcare IT, I seamlessly pivot between technical, clinical, and operational concepts.

Before CMU, I graduated Magna Cum Laude from Seton Hill University with dual degrees in Data Science and Exercise Science. At Walmart’s ACC 7377, I built a label-quality monitoring system with Power Automate and Power Apps that generated an estimated $6,000 in cost savings during its first week. Before that, I executed biomechanical and ergonomic analyses at Peak Performance Biomechanics, turning IMU and EMG data into client-ready reports.

This site is the working version of that journey. Browse the projects, research, and writing — and let’s learn more together.