Elliott Evans

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More about me

About Me

I'm a data science manager at Capital One, leading AI-driven models for acquisitions risk. Michigan and Northwestern grad. Lover of anything math, statistics, baseball, and data. Go Blue, go 'Cats, and go O's.

Resume

Career Timeline

2021–Present
Capital One
Applied AI – CardMar 2026–Present
Data Science Manager · Lead DS for AI in Credit (Acquisitions Risk)

Leading AI-driven credit-risk models.

Transaction Fraud Data Science2021–2026
Principal Data Scientist → Data Science Manager · promoted Jul 2025

Developed ML models to detect and stop payment fraud.

2024–Present
Georgia Institute of Technology
M.S. in Computer Science
Artificial Intelligence Specialization

Online Master of Science in Computer Science (OMSCS) - Current graduate work in machine learning, AI systems, and computational intelligence.

2018–2021
Civis Analytics
Political Applied Data ScienceJul 2018–May 2021
Senior Data Scientist → Staff Data Scientist · promoted Dec 2020

Built Bayesian election forecasts for U.S. House, governor, and 6,000 state-legislative races to help elect Democrats.

2017
U.S. Census Bureau
Survey Statistician Intern

Analysed Bayesian kriging methods on income-to-poverty ratios for public schools.

2016–2018
University of Michigan
M.S. in Applied Statistics

Focused on Bayesian modeling, statistical inference, and predictive analytics.

2016
OptionsHouse
Junior Business Intelligence Analyst

Modeled user trading behavior and customer segmentation.

Jun 2014 – Sep 2014
numberFire
MLB Contributor

Provided data-centric baseball content for the website.

Jun 2013 – Sep 2013
STATS Perform
Operations Statistician

Provided baseball pitch-type analysis for MLB and Japanese games.

2011–2015
Northwestern University
B.A.: Mathematics & Statistics
Minor: Computer Science

Studied the mathematical foundations that underpin modern statistical modeling and data analysis.

Projects

Publications & Writing

When Will America Be Ready for a Gay President?

Are most Americans ready to accept an openly gay president? The answer to this question appears to be yes. The more difficult question to answer, rather, is when will enough Americans be ready to accept such a president so as to give them a fair chance of winning the presidency?

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Were Forecasters Wrong about Donald Trump?

The question, at its core, is complicated and has ramifications for how comfortable we are with probability, and why we turn to forecasts in the first place.

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The Luckiest and Unluckiest Baseball Seasons Over the Last 5 Years

Even the most talented hitters and pitchers are susceptible to fluctuations in their BABIPs, causing some uncharacteristically great or terrible seasons.

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How Well Are Baseball's Best Relievers Being Used?

For decades, we've pulled our hair out and grinded our teeth as we watched our favorite closers and set-up men attempt to get the final outs of a ball game. The closer is regarded by most managers to be the most important pitcher on the relief staff. However, this doesn't imply that the closer is pitching the most meaningful innings. It doesn't even imply that the closer is the best reliever on the team.

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All or Nothing: How the Baltimore Orioles Found Success

When the O's finished 93-69 at the end of the 2012 season, managed an AL Wild Card Spot, and eventually took the Yankees to 5 games in a thrilling ALDS, the baseball world was wondering what had just happened.

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Are Schilling and Mussina Comparable to Other Baseball Hall of Famers?

For those who watched Mussina pitch so well for so long, and who saw Schilling dominate batters for years, a question presents itself: Can we not place these two pitchers in the same category as Maddux, Glavine, Johnson, Pedro, and Smoltz? Apparently, Hall of Fame voters are currently reluctant to do so.

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Six Feet Under: Evaluating Short Pitchers

When we watched Pedro Martinez, commentators and baseball men viewed him as an exception to some obscure and unwritten rule: that shorter athletes can't become successful pitchers.

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What's the Value of a Home Run These Days?

Home runs used to be a rarity among baseball events. In the early 20th century, it wasn't uncommon for a player to lead his league in baseball by hitting 10-15 home runs. This brings me to the question: how has the home run actually changed? Not in terms of its frequency, but in terms of its value. More specifically, its value in runs.

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How Rare Is a Chris Davis Comeback?

Just how rare is Davis' comeback? Davis was an established major-league player before this season, having played 723 games while averaging 2.0 WAR per 162 Games. His Oriole-record 53 homers in 2013 (which included 7.1 WAR) made him a star while his forgettable 0.8 WAR in 2014 made him just another one-hit wonder.

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