Big Data for Data Scientists: Trends and Use Cases

CountyCanada @ (CA)
Official Website

Canada @ (CA)
Tel 2019-02-16
Categoria Events

As the major banks in Canada have built their own data science teams and started to carry out proof-of-concept projects, data scientists who are able to use big data tools, like Hadoop, Hive, Scala, and Spark have become one of the most in-demand and highest-paying jobs in Canada. On Saturday, Shaohua Zhang, co-founder and chief instructor of WeCloudData, who's also a data scientist at Kik, will share his experience on how he employed big data technology to build up customer taste graph from end to end.  In this introductory workshop, we will help you get started with Big Data Technologies. Topics covered:-------------------------- Introduction to Big Data - Big data use case sharing Prerequisite:--------------------- Basic Python knowledge Our Speaker ------------------- Shaohua Zhang A self-trained data scientist and an expert in applied big data technologies, Shaohua has 9 years of experience in applied data science and has built a reputation for building high-performance data science teams.

He is currently a senior data scientist at Kik Interactive Inc., helping the billion-dollar Canadian tech unicorn grow its big data initiative.    Prior to Kik, Shaohua built a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM and product teams. His is specialized in user interest graph modelling, targeted advertising, scalable location intelligence and large-scale recommendation engines for mobile personalization. He also collaborated with Ryerson’s Data Science Lab on several big data research projects. Shaohua also helped build the big data course at Ryerson University where he trained over 150 professionals on big data technologies such as Hadoop, Spark and data sciences.

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