Data & Software Engineer
Building predictive models, scalable data pipelines,
and reliable applications that turn data into insight.
I'm a Computer Science student at Rutgers University (GPA 3.54, graduating May 2027) with a minor in Business Administration. I'm passionate about the intersection of data engineering, machine learning, and software development.
Whether I'm building automated data pipelines, training neural networks for market prediction, or crafting full-stack applications, I bring a rigorous, curiosity-driven approach to every problem.
Automated data pipelines to scrape, clean, and preprocess historical MLB statistics. Engineered batting, pitching, and situational features to power predictive models (Linear Regression & Random Forest) for estimating team scoring outcomes. Validated with cross-validation, MAE & RMSE metrics.
End-to-end ML system for next-day stock price prediction. Collected & preprocessed data via Yahoo Finance APIs, designed LSTM neural networks in PyTorch, and served real-time predictions through a Flask REST API. Built an interactive web dashboard to visualize actual vs. predicted prices.
I'm actively seeking internship and full-time opportunities in data engineering, machine learning, and software development. Open to collaborations too.
๐ 732-484-2510