A data science enthusiast who likes to dig into data to find useful trends and patterns to support business, Faraz has more than 10 years of experience in IT and data science in the banking and high-tech industries. He is now leading a team of highly talented and effective data scientists and data engineers at one of the major banks in Canada, focusing on a variety of data science projects. Prior to the bank, Faraz was a manager leading a team of data scientists at BlackBerry. They have worked on projects of predictive and inferred user attributes for effective ad-targeting, resulting in significant revenue lift, and a content recommendation solution used to increase user stickiness.
Faraz is also a great instructor. In teaching Big Data Analytics Tools at Ryerson, he used his work experience to deliver a highly informative and practical course. He has trained more than 100 professionals on big data technologies such as Hadoop, Spark, and data science.