Shuheng sees himself as an out-of-the-box thinker and a self-motivator. He holds a Bachelor’s Degree in Economics and a Master’s degree in Business Analytics. This background not only gave him a solid technical knowledge on programming, Mathematics, and Statistics, but also made he highly competent in discovering business insights. During the bootcamp, he applied Hive and Python Spark to handle over 200 gigabytes dataset, and utilized Google maps APIs to incorporate weather, traffic condition and establishments information into prediction models. He built a dynamical system to forecast the demand of for-hire vehicles in New York State and to optimize Uber matching system. Using Python Framework Flask, he turned this project into a recommendation APP which helps drivers get more fares and avoid traffic.