Park U.

I'm a native Korean translator and cosmetic data analyst with a Chemical Engineering background and hands-on experience in Python-based data analysis. I specialize in two areas that rarely overlap: ▸ Technical Translation (EN/FR → KO) Scientific documents, lab equipment manuals, cosmetic ingredient lists, and marketing materials. My engineering background ensures accuracy in terminology — not just language. ▸ Cosmetic Data Analysis Ingredient safety screening using RDKit and regulatory databases (Korea MFDS, EU Cosmetics Regulation). Consumer review analysis, market research reports, and ingredient trend analysis for K-Beauty brands and OEM/ODM manufacturers. One area where I offer a distinct advantage: Korean-language consumer review (VoC) analysis for K-Beauty market research. Collecting, parsing, and interpreting Korean review data requires both native language fluency and technical data skills — a combination that's difficult to find. I've applied this in real projects, including analyzing 3,300+ Korean shampoo reviews to identify texture-related complaints and link them to formulation variables. Recent projects include: • Built an ML model to classify fragrance labels from molecular features (AUROC 0.95) • Developed a skin safety evaluation dashboard integrating PBPK modeling and multi-country regulatory data • Analyzed 3,300+ Korean consumer reviews to extract product improvement insights for a shampoo formulation project If you need someone who understands both the language and the science behind cosmetic formulations — I'd be glad to help.