Tyler Hunt
Vice President Of Analytics at Snap Finance
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolTyler Hunt is a data leader with 14 years of experience who currently heads Analytics at Snap Finance, overseeing Data Science, BI, Data Engineering and core development teams to deliver production-grade ML decisioning and scalable data products. He built the company’s underwriting, experimentation, and collections platforms that drove measurable business impact—including a $45M improvement in collections—and operationalized fraud and credit-risk models at scale. A longtime educator, Tyler taught master's-level statistics and practical data science at the University of Utah for nine years, shaping the next generation of practitioners. He also contributes to notable open-source R tooling (improving feature selection and model metrics for the widely used caret package), reflecting a practical focus on model evaluation and deployment. Known for hiring and mentoring diverse, high-efficiency teams (onshore and nearshore), he combines academic rigor with product-minded execution to expand access to finance for thin- and no-credit customers.
14 years of coding experience
7 years of employment as a software developer
The University of UtahChief Technology Officer Program Analytics & Technology, Chief Technology Officer Program Analytics & Technology at University of California, Berkeley, Haas School of BusinessBachelor's of Science Psychology, Bachelor's of Science Psychology at Southern Utah University
Stackoverflow
11reputation
7kreached
1answer
0questions
Github Skills (6)
eval10
machine-learning10
statistical-models10
evaluation10
feature-selection10
r10
Programming languages (7)
Github contributions (5)
topepo/caret
Aug 2016 - Mar 2017
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Role in this project:
Data Scientist
Data ScientistContributions:120 commits, 11 PRs, 38 comments in 6 months
Contributions summary:Tyler primarily contributed to the `caret` R package, focusing on improvements to feature selection and model performance metrics. Their work involved adding functionality from the `ModelMetrics` package, including the `auc` function, and optimizing the `filterVarImp` function. They also made changes to tests related to `mnLogLoss` and other statistical measures, indicating a focus on model evaluation and accuracy.
r-packagecaretstatisticsregressionregression-models
JackStat/6003Data
Nov 2014 - Feb 2022
Contributions:33 commits, 24 pushes in 7 years 4 months
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