David Yeh is a Consumer Behavior Modeler and data scientist with 8 years of experience applying statistical methods, machine learning, and scalable ETL pipelines to drive business decisions in finance and education. Currently at Bank of America, he brings production-grade modeling and cloud deployment experience (SageMaker, AWS) built from prior roles at American Express and University of Phoenix. His background spans deep learning research—published work on GAN/VAE-based anomaly detection and image-based process monitoring—to large-scale ad-tech and fraud-detection systems using Spark, TensorFlow, and XGBoost. Comfortable translating insights into stakeholder-facing narratives, he also engineers robust data pipelines and feature enrichment to improve model performance and operational efficiency. A polyglot practitioner trained in industrial engineering, he blends academic rigor with practical impact and a curiosity reflected in his Latin GitHub motto: homines quo plura habent, eo ampliora cupiunt.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Bioenvironmental System Engineering, Bachelor of Engineering - BE, Bioenvironmental System Engineering at National Taiwan University
Master of Engineering - MEng, Industrial Engineering, Cumulative GPA 3.70, Master of Engineering - MEng, Industrial Engineering, Cumulative GPA 3.70 at Arizona State University
Contributions:15 commits, 3 PRs, 54 pushes in 4 months
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David Yeh - Consumer Behavior Modeler at Bank of America