Kyle Stevens

Kyle Stevens has been working in the data analytics field since 2017. Kyle began their career as an Analytics Intern at M&T Bank, where they analyzed, revised, and queried to pull accurate historical delinquency data for all consumer products. Kyle also queried performance analysis of individual collectors and assisted in creating and formatting reports. In 2018, they worked on a Senior Project at the University of New Hampshire, where they implemented a neural network model and multiple data visualization techniques to evaluate predictors of player efficiency in Python. In 2019, they worked on a Masters Project for the New York Mets, where they used various clustering and statistical modeling techniques to enhance pre-existing Batter vs Pitcher predictive models. Most recently, they worked as an Independent Consultant, utilizing various data mining techniques to create and maintain a unique dataset containing over 100,000 results of NBA player prop bets at FanDuel Sportsbook. Kyle is currently employed as a Data Analytics Associate at First Help Financial.

Kyle Stevens graduated from the University of New Hampshire in 2020 with a degree in Statistics. During their time at the University of New Hampshire, their field of study was Statistics. In addition, they obtained a Six Sigma Green Belt (CSSGB) certification from ASQ - World Headquarters in May 2019.