πŸ“‹ About Me

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Rayun Sa Food & Consumer Insights Β· Data Analysis & Business Strategy

Translating consumer data into actionable business insights across food and service contexts. I combine domain knowledge in nutrition science with hands-on experience in text mining, sentiment analysis, and consumer behaviour research β€” and I've done it in both Korean and European contexts. My instinct is always the same: find the structural gap in the data, and turn it into something a real organisation can act on.



πŸ“š Education

Sookmyung Women's University Β· Seoul, South Korea Β· Mar 2019 – Feb 2026 B.Sc. Food & Nutrition Science + B.B.A. Business Administration (Double Major) GPA: 4.07 / 4.5 Β· Business Admin GPA: 4.21 / 4.5 Top courses: Business Data Analytics I & II (A/A+), Business Analytics (A+), Data Analysis Workshop β€” Capstone (A+)

Hogeschool Rotterdam Β· Rotterdam, Netherlands Β· Aug 2023 – Jul 2024 Communication, Media & Design β€” Exchange Year (full coursework in English)


πŸ›  Technical Skills

Category Skills
Analytics Python, R, regression, SVM, web scraping
NLP Text mining, LDA topic modelling, ABSA, few-shot prompting
Methods IPA, SERVQUAL, ANOVA / t-test, time-series forecasting, UX research
Tools Figma, MS Excel, Octoparse, Canva, GitHub

🌍 Languages

Language Level
Korean Native
English Professional working proficiency Β· OPIc IH Β· TOEIC 875
Dutch A1/A2 β€” actively learning

πŸ’Ό Why the Netherlands