Jui Chang is a data engineer with nine years of experience combining academic training from UCLA and UC San Diego with hands-on work in e-commerce and digital transformation. She builds and maintains ETL pipelines and data warehouses, and previously applied AI and data-mining techniques to optimize recommendation and marketing systems, using Python, SQL, GCP and Google Analytics. At AviviD she translated customer behavior analysis into revenue-driving strategies, and now supports enterprise-scale digital initiatives at Yulon Group. Comfortable working cross-functionally, she pairs technical implementation with a marketer’s understanding of customer segmentation and campaign performance. An unusual mix of biochemistry and electrical engineering studies gives her a disciplined, data-driven approach to solving complex business problems.
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