Data Scientist, e-TeleQuote

I am currently a data scientist at e-TeleQuote Insurance. I work closely with the financial planning and sales teams to help them obtain data-driven insights through data science practices. Some of the models I worked on are bayesian hierarchical models, CatBoost models, gamma-gamma/gamma-poisson models, and—of course—linear and logistic regression models.

June 2024+

Mathematics Research Assistant, BYU

I was a research assistant for Dr. Mark Hughes at BYU. In my research, I used deep reinforcement learning (PPO algorithm specifically), and applied it to 4D topology. I presented my research at several conferences, namely the BYU Student Research Conference (2022, 2023, 2024), the JMM Research Conference (2023 in Boston, 2024 in San Francisco), and the University of Utah Undergraduate Research Conference (2022). I was also able to present my research at the Utah MLOps meet-up in June 2024.

If you are interested in my presentation slides, this is the presentation I gave in at the 2023 JMM Conference in Boston, BYU Conference in 2022, and the University of Utah Conference. This is the presentation I gave at the 2024 JMM Conference in San Francisco, and this is the talk I gave the MLOps meet-up!

I have also published an undergraduate honors thesis as part of BYU's honors experience. My research is in 4D topology and deep reinforcement learning. You can check out my thesis here!

May 2021 - April 2024

Data Science Intern, Harbor Health

I was a data science intern for Harbor health, focusing on building models to help the health care system run more efficiently! This included time series forecasting to predict medical events for patients, intense data grouping for improvement in previous models, and LLM based data matching. I really enjoyed my time at Harbor Health and the things I was able to learn.

May - August 2023