Taylor Turner is a Principal with a decade of experience at the intersection of machine learning, quantitative finance, and investment management, currently leading both a boutique wealth firm and senior engagements at CapTech. He spent seven years building and managing ML teams at Capital One, where he moved models from research into robust, production-ready pipelines, and contributed to open-source data tooling such as improvements to Capital One’s widely used DataProfiler project. His background blends hands-on quantitative analysis at a hedge fund and investment banking experience with practical ML engineering, enabling him to translate complex financial signals into auditable, deployable systems. Based in Richmond, VA, he pairs technical depth in ML/quant methods with client-facing wealth management responsibilities and an FCC-licensed hobbyist interest in HAM radio that reflects his appetite for signals and systems beyond work.
10 years of coding experience
1 year of employment as a software developer
Bachelors History, Bachelors History at Thomas Edison State University
What's in your data? Extract schema, statistics and entities from datasets
Role in this project:
Data Scientist
Contributions:26 releases, 1362 reviews, 55 commits in 1 year
Contributions summary:Taylor primarily contributed to improving the data profiling capabilities of the `dataprofiler` library. They focused on fixing and improving the data labeling and numerical statistics features, specifically related to the Population Stability Index (PSI). These changes involved modifications to the code for calculating and reporting PSI, enhancements to the histogram generation process, and adjustments to the handling of disabled profile elements.
Contributions:1 release, 57 commits, 2 PRs in 1 year 4 months
financepersonal-financenerdnerds
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