I work as a Quantitative Modeling Analyst on the Allowance for Credit Loss team at Zions Bancorporation. I have experience with machine learning, Bayesian statistics, and statistical modeling. My research experience includes sports analytics, spatial statistics, and combining elements of statistical modeling and machine learning together. My interests in my free time revolve around sports analytics, natural language processing, and developments in machine learning.
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MS in Statistics, 2022
Brigham Young University
BS in Statistics, Emphasis in Applied Statistics, 2022
Brigham Young University
BA in Russian Language and Literature, 2022
Brigham Young Unviersity
Visualization of NCAA Men’s basketball coaches expected points per possession on plays after a timeout to understand the ability of a coach.
Summary of analysis results for modeling adjusted and regularized adjusted plus-minus for WNBA players in the 2019 season.
Webscraping and analysis of text from talks from General Conferences of the Church of Jesus Christ of Latter-Day Saints with a Shiny app to explore the talks.
Analysis that combines of machine learning and statistical modeling methods to create irrigation zones.