Emma (Jielei) Zhu just graduated from New York University with a B.A. in Psychology and Computer Science. In school, Emma was able to explore her interests to the fullest by taking classes in Statistics, Psychology, Neuroscience, Algorithms, Machine Learning, Philosophy and Game Design. In the end, she found the combination of human behavior, statistical inference and Machine Learning algorithms interested her the most. Hence, she decided to double major in Psychology and Computer Science with a minor in Mathematics. Emma is a savvy programmer with proficiency in Python, MATLAB, R, Java and C. Using these languages, she has done projects on human perception(publication pending), data visualizations, sentiment analysis, and star rating predictions. During her time in the NYC Data Science Academy, she used R and Shiny to visualize data in an engaging and non-traditional way, and she used advanced Machine Learning algorithms to compete in two Kaggle competitions winning 1st place in one of the them. In her spare time, you could find Emma running, playing board games, and cracking jokes with friends.
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.
