Daniel Romero

Sr. Manager - Machine Learning Engineering at Capital One

Philadelphia, Pennsylvania, United States
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Summary

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Senior
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Daniel Romero is a senior machine learning engineering leader with 13 years of experience building data-driven products and capabilities for Fortune 500 companies across finance, cloud retail, and consulting. He has progressed from data science consulting into technical product management and now leads ML engineering at Capital One after multi-year product leadership roles at Amazon and Slalom. Daniel blends statistical rigor (Graduate Certificate in Applied Statistics) with product-first thinking to operationalize advanced analytics and machine learning at scale. Known for translating ambiguous business problems into production ML systems, he excels at cross-functional leadership and aligning data science with measurable business outcomes. Based in Philadelphia, he brings a rare mix of accounting-rooted analytical discipline and enterprise product delivery experience that helps bridge finance, engineering, and product stakeholders.
code12 years of coding experience
job12 years of employment as a software developer
bookGraduate Certificate Applied Statistics, Graduate Certificate Applied Statistics at Penn State University
bookBachelor's Degree Accounting, Bachelor's Degree Accounting at Christopher Newport University
languagesPortuguese
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Github Skills (9)

orange6
pipeline4
reconciliation4
aws3
alarm3
data-analysis3
smoke3
data-pipeline2
python2

Programming languages (1)

Python

Github contributions (5)

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dtromero/MusicScraper

May 2013 - Jun 2013

Contributions:25 commits in 9 days
Contributions:15 pushes, 1 branch in 26 days
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