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Urgg YegUY
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Urgg Yeg

@urggyeg

AI Data Specialist improving dataset reliability for machine learning through data validation, quality analysis, and model evaluation.

United States
Message

What I'm looking for

I’m looking for work where I can support AI and machine learning with strong dataset preparation, data validation, data quality review, and model evaluation—especially on computer vision or NLP problems where accuracy matters.

I’ve worked on contract machine learning and data quality projects supporting AI workflows in Los Angeles—most notably through Second Spectrum, where I prepared and analyzed computer vision datasets for classification tasks.

At Second Spectrum, I performed dataset quality review, validation, and error analysis, then evaluated model outputs to find ways to improve data reliability and support model development.

Before that, at OpenX Technologies, I analyzed structured datasets to uncover trends, patterns, and data quality issues—cleaning, validating, and running consistency checks to keep analytics and machine learning workflows trustworthy.

I bring a mathematics foundation from UC Davis alongside hands-on work across Python, R, SQL, computer vision, NLP, and predictive analytics, including projects focused on image dataset preprocessing and text quality analysis.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of California, Davis logoUD

University of California, Davis

Bachelor of Science, Mathematics

Bachelor of Science in Mathematics from the University of California, Davis, with a strong foundation in probability, statistics, mathematical modeling, optimization, and quantitative analysis.

Tech stack

Software and tools used professionally

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