Junghwan Park is an Assistant Manager and UCLA MAS graduate student with nine years of experience applying statistics and deep learning to image processing and computer vision problems. Currently at LG Display, he focuses on developing deep learning solutions for image analysis, building on prior roles where he engineered influencer analytics and payrate prediction models using web scraping and predictive modeling. He combines rigorous applied statistics training with hands-on data engineering and analytics experience gained in startup and internship settings. Based in Los Angeles, he seeks roles in data science, engineering, or analytics and brings a practical knack for turning noisy, real-world data into actionable metrics such as the Consistency Score he developed for influencer evaluation.
9 years of coding experience
1 year of employment as a software developer
Master of Applied Statistics, Applied Statistics, Master of Applied Statistics, Applied Statistics at University of California, Los Angeles
Contributions:46 PRs, 58 pushes, 28 branches in 4 months
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