Demand Analytics
Garrett Schirmer is an experienced data professional currently serving as the Data Science Lead at Demand Analytics since April 2023. Prior to this role, Garrett held the position of Senior Data Analyst at The Athletic from May 2022 to April 2023. Garrett's career began at Tampa Bay Lightning, where multiple roles were undertaken from October 2017 to May 2022, including Business Intelligence Manager, Senior Business Analyst, and Data Systems Analyst. Earlier experience includes roles at Cleveland Indians as a Business Analyst and Executive Development Fellow, as well as a Hockey Analytics Research Assistant at Dartmouth College, where a logistic regression model was developed to analyze the likelihood of amateur hockey players reaching the NHL. Garrett holds a Bachelor’s Degree in Mathematics and Economics from Dartmouth College, completed in 2016, and graduated from Dunedin High School in 2012.
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Demand Analytics
Demand Analytics is the leading platform for enabling demand-based decision-making. Our software provides insight into underlying consumer demand and enables our industry-leading MLB, NBA, and NFL club partners to make the most accurate, interpretable, and holistic decisions possible. These decisions are driven by advanced machine learning models, presented in an interactive UI, and include dynamic ticket pricing, sales forecasting, and marketing mix modeling. We have experienced the challenge of these club decisions first-hand and built Demand Analytics to solve them.