Jen-fang Chang
Data Scientist, VP
Singapore
Summary
👤
Senior🎓
Top SchoolJen-fang Chang is a data scientist and machine learning leader with 10 years of experience building production ML systems across e-commerce and adtech, now serving as VP at Crédit Agricole CIB in Singapore. She combines deep algorithmic expertise—from logistic regression, FTRL and BiLSTM-CRF models to CNN-derived embeddings—with hands-on engineering of streaming and batch pipelines using Kafka, Storm, Flink, Spark and Kubernetes. At Appier and Alibaba she improved CTR recall and risk-model accuracy through feature engineering and embedding strategies, and has scaled model deployment with Argo Workflows on Google Cloud. Her background in robotics and control systems from Columbia informs a systems-oriented approach to model robustness and real-time processing. Known for pragmatic optimizations (e.g., halving pipeline latency at JD.com), she bridges research-level modeling and reliable, low-latency production infrastructure.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at National Chiao Tung UniversityMaster of Science (M.S.) Robotics and Control System, Master of Science (M.S.) Robotics and Control System at Columbia University
mandarine chinese, EnglishGithub contributions (5)
james131418/Booker
Aug 2016 - May 2017
Contributions:4 commits, 5 pushes, 1 branch in 9 months
james131418/Alien_Attack
Jul 2016 - Jul 2016
Contributions:22 commits, 19 pushes, 1 branch in 11 days
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