Easton Huch is a data scientist with a comprehensive background in statistics and economics. With a Master of Science in Statistics from Brigham Young University and broad experience in statistics research and data analysis, Huch has held several data science positions both as an Associate Data Scientist and Data Scientist dealing with a variety of areas including finance, marketing, and sales operations. He has also spearheaded data infrastructure projects such as an anomaly detection system and a containerized deployment of dbt. Easton Huch's unique expertise lies in statistical modeling, particularly Bayesian statistics, and has created models custom-built for various applications. Prior to his current role, he held positions as a Data Analyst Intern at Lucid Software, a Teaching Assistant for SAS Programming at Brigham Young University, and a Product Specialist at Qualtrics.