Paul Huang

Solution Architect, Data, Analytics & Machine Learning at Appier

Paul Huang is a seasoned Solution Architect specializing in data, analytics, and machine learning at Appier since January 2021, where expertise includes leading the design of an enterprise-grade Customer Data Platform and collaborating with various departments on report frameworks and system architecture. Previous roles as a Senior Data Science Consultant involved implementing analytical solutions with extensive knowledge of cloud services and on-premise technologies. Experience as a Data Scientist at Rakuten included enhancing e-commerce applications through advanced model development, while foundational roles at Cathay Financial Holdings focused on machine learning and behavior prediction models. Additional contributions to the field include chairing a data science blog and authoring for a prominent tech publisher. Paul holds a Master’s degree in Data Science from National Tsing Hua University and a Bachelor's degree in Computer Science from the University of Taipei.

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