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.
NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.
NYC Data Science Academy is licensed by New York State Education Department.
