Projects

This is a Streamlit-based app that predicts stock prices using LSTM (Long Short-Term Memory) neural networks.

End-to-end ML pipeline predicting California house prices with Bayesian-tuned XGBoost, SHAP explainability, feature pruning, and stacking.

A dashboard built for my honors thesis that visualizes datacenter water usage and efficiency over time.