Summary
Sirong He is a data analyst and data scientist with nine years of experience applying statistical analysis, machine learning, and NLP to improve product metrics and recommendation quality. Currently pursuing an MEng in Applied Mathematics and Statistics at Johns Hopkins, he combines rigorous academic training with hands-on production work across e-commerce and media systems. He has led recommendation projects using embeddings, YoutubeDNN, and ranking models (LGB, DIN), achieving measurable NDCG gains and addressing cold-start challenges. His NLP work scaled to millions of texts, boosting classification AUC by 7% through BERT enhancements and improving user retention by ~13% via data-driven marketing strategies. Based in Baltimore, he excels at turning experimental insights into dashboards and A/B-tested product decisions, and brings a practical focus on media system behavior that bridges analytics with product impact.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Bachelor's degree, Applied Mathematics and Computer Science, Bachelor's degree, Applied Mathematics and Computer Science at Shenzhen MSU-BIT University
English, Chinese, Russian