Bill Hsu is a Data Science Manager at ASUS with eight years of experience applying statistical and deep learning methods to supply chain, sales forecasting, and IoV problems. Promoted to manager within two years at ASUS, he leads and coaches a team focused on model development and production operation while driving measurable business impact—his forecasts cut parts costs by at least 50 million NTD per year and improved fulfillment rates. He has a proven track record of productionizing models and pipelines (including a 32x speedup in validation/prediction runtime and automated reporting that saved weekly hours) and building cross-border monitoring and anomaly detection with ASUS China. Earlier roles at Toyota Taiwan included LSTM and time-series clustering for demand forecasting, significant DB performance optimizations, and customer behavior segmentation from telematics data. Trained in statistics (National Taipei University, Tamkang University), Bill combines rigorous causal analysis with pragmatic engineering to turn analytics into operational savings. An avid builder (GitHub bio: "buidl"), he brings both hands-on coding and people leadership to scale ML solutions in enterprise environments.
8 years of coding experience
2 years of employment as a software developer
統計系, 統計系 at 淡江大學
碩士, 統計學系, 碩士, 統計學系 at 國立臺北大學NATIONAL TAIPEI UNIVERSITY
Contributions:62 commits, 64 pushes, 1 branch in 6 months
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