Built regression models to predict medical insurance costs based on patient characteristics.
Built a retrieval augmented generation chatbot using BBC News articles, vector embeddings, and a local LLM to answer questions about news topics.
Compared Ridge, Lasso, and Elastic Net regression models to predict MLB player salaries, using cross validation to evaluate regularization techniques.
Built classification models using KNN, Logistic Regression, and Decision Trees to predict heart attack risk, optimizing for recall to minimize missed cases.
I'm a Master's in Business Analytics student at Cal Poly San Luis Obispo. The world is a big, messy place, and many important questions have complex answers. Why do governments collapse? Why do people have heart attacks? What is a fair insurance premium?
Questions like these require careful thought about which questions to ask, and strong evidence to support the answers. My passion is asking the right questions and using data to answer them.