I work at BNY as a Data Science Analyst in their rotational program. I graduated with a Data Science degree from Purdue University and I’m currently pursuing my Master’s in Computer Science at Georgia Tech.
I’m passionate about solving data challenges across the full stack. When I’m not working through code (or fixing my own bugs), you can find me running around NYC or hanging out with family and friends.
A cloud-native ETL pipeline for ingesting, transforming, and analyzing financial market data using AWS, GCP, Docker, and Apache Airflow. This project is currently under active development and serves as a hands-on demonstration of modern data engineering and DevOps practices.
A data‑science capstone from my final semester at Purdue University. We built several classification models (Logistic Regression, SVM, KNN, Random Forest) to predict how many games Purdue would win in the 2024 NCAA Tournament, and evaluated them against both business and data‑science success criteria.