I'm Young Jun Song — a Data Science student at Kookmin University, double majoring in Digital Marketing. What excites me isn't the numbers themselves, but what they reveal about how people think, feel, and decide.
Currently based in Irvine, California through the Global PBL Program. I'm drawn to the intersection where consumer behavior meets analytics.
My work spans ML-driven conversion modeling, NLP-based social listening, and data-backed marketing strategy — always with the goal of understanding what actually drives human decisions, not just modeling them.
Actively looking for a Fall 2025 Marketing Data Analyst internship in the U.S.
ML pipeline predicting whether bank customers will subscribe to a term deposit — directly applicable to marketing targeting and lead scoring on heavily imbalanced campaign data (88% negative class).
Analyzed Korea's OTT market and developed a full-scale Netflix marketing strategy — combining primary research (survey + FGI) with churn data modeling and framework-based strategic analysis.
Collected and analyzed 26,000+ social media comments across 5 KBO baseball clubs. Applied NLP, topic modeling, and zero-shot sentiment classification to surface actionable fan insights.
Designed a B2C/B2B solar installation comparison platform with ML-based irradiance prediction and bid-based contractor matching. Awarded 1st place at Kookmin Business School Idea Colathon 2025.
Actively looking for a Fall 2025 Marketing Data Analyst internship in the U.S. Always open to a conversation.
youngjun@youngjunsong.com