Chao Shi is a quantitative thinker with business vision. He obtained a PhD from Cornell in Computational Geodynamics by modeling the earth interior with Finite Element Method and Distributed Computing techniques. He worked as a geophysicist for Hess focusing on seismic data processing, integration and interpretation for 5 years. He developed solid business understanding by working on capital intensive offshore projects as a project leader and mentor. At NYC Data Science Academy, his team ranked top 2% out of 2500+ teams in the Russian Housing Price Prediction open Kaggle competition. His capstone project is a recommendation system prototyped completely in the cloud. They start from 5G Yelp 2017 data, and provide real-time recommendation with collaborative filtering, content based similarity calculation, and social graph deep dive.