I built an end-to-end house-price prediction pipeline using the Ames Housing dataset, from data cleaning and feature engineering to model comparison. After tuning eight models with cross-validation, I selected XGBoost, which achieved 8.11% mean absolute percentage error on unseen test data.
For a project analyzing Olist’s Brazilian e-commerce dataset, I used SQL to examine revenue, order volume, seller performance, and product trends. I graduated from the University of Washington with a Bachelor of Science in Statistics in Data Science.
