I'm a freshman at the University of Pittsburgh, studying Data Science with minors in Computer Science, Physics, and Applied Statistics. I'm passionate about Machine Learning and Data Analytics, aspiring to become an ML Engineer.
AI Robotics Operator
Contributing to the development of adaptive intelligence for autonomous systems. Working with cutting-edge robotics and machine learning technologies. I am unable to disclose my employer publicly, but I'm happy to share details privately—please ask for my resume!
Data & Live Telemetry Team Member
Analyzing real-time performance metrics from the Formula SAE race car to optimize vehicle performance. Implementing data collection systems and creating visualization dashboards for the engineering team.
NFL Quarterback Performance Analysis
Statistical analysis of Patrick Mahomes' performance, focusing on nullified interceptions in the NFL. Applied statistical tests including Z-score analysis, Mann-Whitney U Test, and bootstrap resampling to discover that Mahomes had a statistically significant outlier number of nullified interceptions (Z-score of 4.80).
MNIST Digit Recognition Neural Network
Implemented a multi-layer neural network in PyTorch for handwritten digit classification, achieving 98.20% accuracy on the MNIST dataset. Developed an interactive drawing application using Tkinter that allows users to draw digits and receive real-time predictions with confidence scores.
Portfolio Website
Developed a responsive personal website with dark/light mode toggle, responsive design, and sections for projects and reading recommendations.
Non-Fiction Reading List
Books that have shaped my understanding of STEM.
View recommendationsFiction Reading List
Books that have influenced my thinking beyond technical topics.
View recommendationsFeel free to reach out if you'd like to discuss anything!