Summary
Yu-cheng Chang is a Machine Learning Systems Analyst with 8 years of experience building resilient data infrastructure and ML pipelines, currently managing AWS-based B2B data messaging and engineering data systems for a leading American fabless semiconductor company. He combines hands-on orchestration of Snowflake, Airflow, and Python-driven ETL with front-end analytics—embedding Angular, Power BI, and custom D3.js visuals—to enable real-time, high-volume operational decision-making. His background spans satellite data engineering and academia, where he improved data quality and retrieval efficiency by over 90% and delivered a multi-team government project on schedule. Known for diagnosing production ML issues and automating ERP workflows, he blends rigorous QA practices with practical engineering to stabilize models and cut operational costs. Based in Taipei, he holds a Distinction MSc in Data Science and brings a rare mix of semiconductor supply-chain domain knowledge and end-to-end data product delivery.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Information Management & Applied English, Bachelor's degree, Information Management & Applied English at National Taichung University of Science and Technology
Master's degree, Data Science, Distinction (Best Honor), Master's degree, Data Science, Distinction (Best Honor) at University of Sussex
English, Chinese, Japanese, English