Summary
Shuang Gong is a data scientist with 10 years of experience combining dual MS degrees in Statistics and Information Systems to deliver production-ready ML systems. Based in San Jose, she has led end-to-end recommendation and ML pipeline work—migrating data platforms to Snowflake, optimizing SQL at scale, and deploying models on AWS SageMaker—to drive measurable gains like +8% MAP and +7% conversion from Transformer-based recommenders. Her toolkit spans Python, SQL, SAS, R, Docker, Git and deep learning with Keras/PyTorch, and she routinely improves both model quality and inference latency via systems-level engineering. A former clinician by training, she brings a data-driven experimental mindset to product metrics and stakeholder collaboration, pairing rigorous statistical foundations with practical deployment experience.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Statistics, 4.0, Master of Science - MS, Statistics, 4.0 at Florida State University
Bachelor's degree, Clinical Medicine, Bachelor's degree, Clinical Medicine at Tianjin Medical University
Master of Science - MS, Information Systems, Master of Science - MS, Information Systems at Northeastern University