Summary
Jiashuo Sun is a data scientist with 8 years of experience, currently applying statistical rigor and scalable ETL practices at Tencent from his Shenzhen base. He holds an MS in Mathematics and Statistics from Stony Brook and a BS in Applied Mathematics from Shanghai Jiao Tong, combining strong theoretical foundations with hands-on work in Python, R, SQL, and Hadoop ecosystem tools. Jiashuo has built end-to-end pipelines, improved database performance, and deployed machine learning models for churn prediction and recommendation systems, achieving a logistic regression model with nearly 80% accuracy in a TELCO project. Comfortable both in research settings—using causal analysis and factor analysis to study teacher retention—and in production environments, he has rewritten legacy systems for performance and driven data-driven product decisions. Known as a quick learner and collaborative team player, he bridges statistical modeling and engineering to turn messy data into actionable insights.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Mathematics and Statistics, Master of Science - MS, Mathematics and Statistics at Stony Brook University
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Shanghai Jiao Tong University