Ying Chen is a data analyst with nine years of cross-industry experience applying big data and payment-product insights to financial services and fintech projects. She began her career as an IT engineer and credit card business analyst at the Agricultural Bank of China, later moving into payment product management and data analysis roles before advising on retail-lending risk projects for Guangdong Rural Credit Union. Since 2019 she has worked freelance building web solutions while continuously upskilling in data science and statistics through courses from IBM and Stanford, and publishing code on GitHub/Gitee. Ying blends domain expertise in credit risk and payments with hands-on data engineering and analytics, enabling practical, audit-ready models for financial decisioning. Based in Guangdong, she pairs formal software engineering training from McGill with accounting background, a combination that strengthens her focus on data-driven business outcomes. A detail some may miss: she has pivoted from enterprise banking systems to nimble freelance development while maintaining a steady emphasis on big-data risk modeling.
9 years of coding experience
14 years of employment as a software developer
Data Science professional, Data Science professional at IBM via COURSERA
Introduction to Statistics, Introduction to Statistics at Stanford University via COURSERA
Computer Software Engineering, Computer Software Engineering at McGill University
Contributions:36 pushes, 1 branch in 2 years 5 months
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