Summary
Chengbin Ren is a data scientist with 13 years of experience applying machine learning and analytics to drive growth in gaming and consumer platforms across China. He has led revenue-uplifting experiments and recommendation systems at King and Supercell, and built churn, segmentation, fraud and price-prediction models at NetEase Games. Comfortable across the stack, he designs AB tests, manages ETL pipelines (Hive/HBase/MySQL) and delivers interactive dashboards with Tableau and R/Shiny to turn insights into product decisions. His background includes deep-learning research at Alibaba and algorithm work at Tencent and Omron, reflecting a mix of research rigor and production savvy. Chengbin pairs technical depth with business training (MBA from Chicago Booth and data specializations from UIUC and Johns Hopkins), enabling him to align models to measurable ROI. A practical experimenter, he’s repeatedly delivered double-digit uplifts in campaign and recommendation performance rather than just theoretical models.
12 years of coding experience
5 years of employment as a software developer
Johns Hopkins University
Certificate, Big Data Processing, Certificate, Big Data Processing at Alibaba Big Data Summer School
Master of Business Administration - MBA, Business Administration, Master of Business Administration - MBA, Business Administration at The University of Chicago Booth School of Business
The Caltech-JPL Summer School on Big Data Analytics
University of Illinois Urbana-Champaign
Specialization, Business Foundations, 89/100, Specialization, Business Foundations, 89/100 at University of Pennsylvania - The Wharton School
B.Eng with Honors, Information Engineering, TOP 5%, B.Eng with Honors, Information Engineering, TOP 5% at Zhejiang University
Exchange Student, Numerical Simulation, Exchange Student, Numerical Simulation at Universidad Politécnica de Madrid
Chinese, English, Spanish, Japanese