Summary
Ihong Chen is an Assistant Manager at Bank Sinopac with 10 years of experience applying machine learning and data engineering to marketing and recommendation systems. With a PhD in physics, he brings strong analytical rigor to designing ETL pipelines, SQL-based data management, web crawlers for social listening, and API-driven automation. He builds feature-based collaborative recommendation models for fund purchasing and visualizes social networks with D3.js to inform branch-level strategy. Fluent in R, Python, and SQL, Ihong also sharpens his skills by competing on Kaggle, often approaching data puzzles with unconventional techniques informed by his research background. Based in Taipei, he blends academic depth with practical production experience across data services and analytics-driven decision making.
10 years of coding experience
電子物理, 理學院, 電子物理, 理學院 at 國立交通大學
Doctor of Philosophy (Ph.D.), physics, Doctor of Philosophy (Ph.D.), physics at National Tsing Hua University
English, Chinese