
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.
π Education
Sookmyung Women's University Β· Seoul, South Korea Β· Mar 2019 β 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 β Jul 2024 Communication, Media & Design β Exchange Year (full coursework in English)
π 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 |
π Languages
| Language | Level |
|---|---|
| Korean | Native |
| English | Professional working proficiency Β· OPIc IH Β· TOEIC 875 |
| Dutch | A1/A2 β actively learning |
πΌ Why the Netherlands