Summary
Shih-cheng Lai is a data-driven project manager with 9 years of experience translating analytics into business impact across fintech, manufacturing, and consumer apps. He combines hands-on skills in MySQL, Airflow ETL, Tableau, Python/R, and Azure MLOps with practical ML experience (CNN, boosting, SVM) to deliver forecasting, pricing, and maintenance solutions that improved model accuracy and operational KPIs. At Wistron he led a cross-functional data team building data warehouses, ETL pipelines, and condition-based maintenance models, and now drives product delivery and analytics at Rakuten. His background in chemical engineering, patent work, and founding a startup that processed 200M monthly views gives him an unusual mix of technical rigor, IP literacy, and entrepreneurial resourcefulness. Known for turning exploratory analysis into concrete ROI (e.g., pricing decisions, retention uplifts, and server-cost reductions), he’s comfortable bridging business strategy and production ML. Reachable in Greater Tokyo, he brings fast learning and cross-industry adaptability to complex data projects.
9 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Chemical Engineering, Bachelor’s Degree, Chemical Engineering at National Taiwan University
Chinese, English, German