Xinyuan recently obtained his PhD from North Carolina State University. He gained quantitative analysis, statistical knowledge and critical thinking from years of research on synthetic inorganic, magnetic and photo-physical chemistry. His belief in the trend of Artificial Intelligence, along with the passion in computational technology, leads him to transition into the world of data science. During his time at NYCDSA, Xinyuan has expanded his toolkit, sharpen his coding skills, and advanced the knowledge in machine learning. For the capstone project, he and his team created a beer recommendation engine by combining two collaborative filtering algorithms with a content-based method. The resulting Flask app allows beer-lovers to explore more beer options based on their preference.