Chuan received a Ph.D. in Computer Science from the University of Central Florida. His research topics involved classifying complex human actions from video data by devising new algorithms in feature learning, dimensionality reduction, and hyperparameter learning via tensor approximation. Later he worked as a software engineer for Amazon on an a strategic and confidential project related to Machine Learning and Computer Vision. Some of his past academic works produced results which better those of state-of-the-art in action classification and recognition. He is excited to broaden and deepen his Data Science skills whenever possible. One of his project in the bootcamp was to scrape 5000+ movies (and posters) from IMDB to predict movie ratings using multiple linear regression and random forest. He later made the dataset publicly available in Kaggle website, and attracted 10K views and 2K downloads within the first three weeks. For the final capstone project, he single-handedly built a collaborative filtering based business recommendation system on the Yelp Challenge 2016 dataset using Spark MLlib, Streaming, GraphX, and Apache Kafka.
