Parth Patel

I’m a Computer Science & Data Science student at Rutgers University (Dean’s List 2024–2026), and I’m currently building real-world data skills through internships in data science and cloud/HPC engineering. In my work, I focus on turning messy, complex datasets into usable insights—using Python, SQL, and visualization to support confident decision-making.

As a Data Science Intern for the Federal Aviation Administration (via Noblis), I used Python to clean, preprocess, and structure 1,000+ air traffic and maintenance records, then built SQL queries to analyze operational activity and safety-relevant status updates. I also designed and published interactive Tableau dashboards to a SharePoint site. Recently, I supported digital infrastructure work at RTX by running engineering simulation workloads on Rescale’s cloud HPC, accelerating migrations from on-prem HPC to the Rescale platform, and helping deploy Domino Data Lab on Oracle Cloud Infrastructure (OCI) with Oracle Kubernetes Engine (OKE). Through projects like regression-based market prediction and machine-learning traffic forecasting (Prophet, geospatial tooling, and an interactive Streamlit app), I’ve strengthened how I model patterns, evaluate performance, and deliver results people can actually use.