Open to opportunities

Caleb Fox

@calebfox

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PhD statistician and data scientist specializing in statistical modeling and data driven insights

United States

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What I'm looking for

I am seeking data science or statistical roles that apply advanced modeling, machine learning, and cloud analytics to real-world problems, within collaborative teams that value mentorship, reproducibility, and opportunities to publish applied research.

I am a PhD candidate in statistics conducting research on bootstrap methods for spatiotemporal Hawkes process confidence intervals while mentoring junior analysts and consulting on applied projects. I combine rigorous statistical theory with practical data science to deliver reproducible, actionable results.

My consulting work includes creating a novel player-value metric and PowerBI dashboard for collegiate athletics, demonstrating cost and visit reductions for AIRROSTI using propensity-score weighted regression, and publishing groundwater research in Frontiers in Earth Science; I also interned in business insights at Eli Lilly using R, SQL, and AWS to inform marketing strategy.

Experience

Work history, roles, and key accomplishments

Business Insights PhD Intern

Eli Lilly & Company

Jun 2024 - Aug 2024 (2 months)

Developed a custom evaluation framework using survival analysis and high-dimensional similarity metrics to identify over- and under-targeted users for Verzenio, enabling more efficient personalized outreach. Analyzed large-scale marketing data with R and SQL on AWS and presented findings to cross-functional stakeholders.

R SQL AWS Survival Analysis Marketing Analytics

Education

Degrees, certifications, and relevant coursework

Baylor University

Doctor of Philosophy, Statistics

2021 -

Doctoral research on bootstrap methods for spatiotemporal Hawkes process confidence intervals; expected completion December 2025.

Baylor University

Master of Science, Statistics

2021 - 2022

Grade: 3.86/4.00

Completed Master of Science in Statistics in December 2022 with a 3.86/4.00 GPA.

Taylor University

Bachelor of Science, Mathematics

2017 - 2021

Grade: 3.88/4.00 (Magna Cum Laude)

Activities and societies: Taylor University Baseball Team; Taylor University Track & Field; Leadership Programming Cabinet; Teaching Assistant; Mathematics Tutor; Discipleship Assistant

Bachelor of Science in Mathematics with minors in Computer Science and Data Science; graduated May 2021 with a 3.88/4.00 GPA (Magna Cum Laude).