Wen graduated with a master’s degree with four years’ experience of psychological research and data analysis in academic projects and independent non-profit organization. At NYC Data Science Academy, Wen completed five projects, including an interactive Shiny app visualizing storm events, web scraping project of TED talks, and two machine learning projects: insurance loss prediction using GBM, xgboost, Random Forest models through R, and multi-label classification problem of bank product recommendation, using Naive Bayes Classifier, xgboost, and Random Forest models. Wen is a person with entrepreneur spirit and creativity, and hopes to join a working environment that promotes critical thinking and drives hard work.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
