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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Qiaoliang Xiang

Qiaoliang Xiang
Head of Data Science, ShopBack


Qiaoliang Xiang is currently the head of data science at ShopBack, where he focuses on setting up big data infrastructure to store and process data, building data pipelines to provide clean, accurate, and consistent data, creating self-service reporting tools to satisfy other teams’ data requests, and developing data science products to serve customers better. Previously, he was a data scientist at Lazada working on product attribute extraction, a data engineer at Visa analyzing financial transactions, and a research assistant at NUS and NTU focusing on information retrieval, machine learning, and natural language processing. Qiaoliang holds a MEng from Nanyang Technological University, Singapore.


2:35pm–3:15pm Thursday, December 8, 2016
Hadoop use cases
Location: 328/329 Level: Beginner
Tags: ecommerce
Qiaoliang Xiang (ShopBack)
Shopback, a company that gives cash back to customers for successful transactions covering various lifestyles, crawls 25 million products from multiple ecommerce websites to provide a smooth customer experience. Qiaoliang Xiang walks you through how to crawl and update products, how to scale it using big data tools, and how to design a modularized system. Read more.