Summary
River Hu is a Senior Data Scientist with 8 years of experience applying machine learning and analytics to product and business problems across large tech and finance organizations. Based in Sunnyvale, he has driven production models and data-driven process redesigns at Meta and NewsBreak and earlier built high-performing predictive models for a million-agent insurance dataset at PING AN, achieving an AUC of 0.82 and 96.78% accuracy with a DNN. He pairs rigorous quantitative training—a 3.98/4.0 MS in Operations Research from UC Berkeley—with hands-on experience in feature engineering, model deployment, and operationalizing AI into recruiting and logistics workflows. Known for translating complex datasets into practical process improvements, he has also led lean initiatives that saved thousands of labor hours and materially reduced costs.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Operations Research, 3.98/4.0, Master's degree, Operations Research, 3.98/4.0 at University of California, Berkeley