Daniel Jang

I'm Daniel, Data Scientist at Kimberly-Clark Korea where I build NLP models for sentiment analysis, predict consumer churn, and develop CRM strategies that drive retention. I specialize in turning messy data into dashboards that actually help people make decisions.

Currently pursuing my Master's in Business Intelligence at Carnegie Mellon. Previously I worked at Codestate and UnicoSearch, and started my career at Syracuse studying Information Technology.

Ask me about NLP and sentiment analysis, churn prediction models, CRM strategy, and data visualization.