Data Scientist & ML Engineer
CS student at Penn State with experience in machine learning, data pipelines, and full-stack engineering — from RNA-Seq research to production ML at Western Union.
About
I'm a Computer Science student at Penn State (Minor in Math Applications) with hands-on experience across the full data and ML stack — from exploratory analysis and model building to production deployment and automated pipelines.
I've worked in data science, software engineering, and research — building everything from DeepAR forecasting models at Western Union to RNA-Seq bioinformatics pipelines on HPC clusters. I care about writing clean, reproducible, impactful code.
Core Skills
Experience
Projects
Built an R & Shell RNA-Seq pipeline to analyze gene expression, comparing disease vs. healthy cohorts for bipolar disorder biomarker discovery. Conducted SNP genotype analysis on 88 subjects with PCA and k-means clustering on an HPC cluster.
Won 3rd place at the Northrop Grumman Innovation Hack Week. Built an object detection program using a SAM-2 model with Python and Roboflow.
AI-powered educational app to enhance kindergarten readiness. Uses the ACT-R cognitive architecture and adaptive gameplay that adjusts to learner level in real time.
Wi-Fi-compatible smart cat feeder using Raspberry Pi 5, enabling communication between multiple feeders on a schedule. Full-stack TypeScript web app with SQL feeding history and meal management.
Built DeepAR time series models at Western Union to forecast weekend capital allocations, enabling data-driven distributions and optimizing capital float utilization at scale.
Applied PCA for dimensionality reduction and k-means clustering on risk rating data at Customers Bank to group auditable entities and support automated audit scheduling.
Let's work together
Open to internships, research collaborations, and full-time roles. I'd love to hear what you're building.