Summary
Melissa Kuo is a Senior Data Scientist based in Taipei with eight years of experience applying statistical modeling, knowledge graphs, and graph-based anomaly detection to finance and platform products. At Binance she progressed from Data Scientist to Senior Data Scientist, bringing production ML experience and a strong grounding in TensorFlow and PySpark from prior roles. Her work at Cathay United Bank combined knowledge graph embeddings (TransE), explainable recommendations, and graph-structural anomaly detection—delivering interpretable fund recommendations and money-flow investigations. She led team study groups and applied tools like DVC, TensorBoard, and Plotly to make experiments reproducible and insights actionable. A statistics master’s graduate (GPA 4.17/4.3) who started with applied analytics internships at Lalamove and ITRI, she blends rigorous academic training with practical production deployment and an eye for explainability in ML systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor, Statistics, Bachelor, Statistics at 國立臺北大學NATIONAL TAIPEI UNIVERSITY
Master, Statistics, GPA: 4.17/4.3, Rank: 3/23, Master, Statistics, GPA: 4.17/4.3, Rank: 3/23 at 國立交通大學