MD Rashed Imtiaz
About MD Rashed Imtiaz
MD Rashed Imtiaz is a Senior Performance Analyst at TELUS in Montreal, Quebec, Canada, with extensive experience in data science, business intelligence, and customer relationship management.
Professional Title and Current Position
MD Rashed Imtiaz holds the position of Senior Performance Analyst at TELUS, based in Montreal, Quebec, Canada. In this role, he focuses on analyzing performance metrics to drive operational improvements and strategic decision-making for the company.
Previous Experience at ADT Security Services Canada
From 2018 to 2020, MD Rashed Imtiaz worked as a Data Scientist at ADT Security Services Canada in Montreal, Quebec. During his two-year tenure, he applied his expertise in data analysis to enhance the company's security service offerings through data-driven insights.
Experience at Grameenphone Ltd
MD Rashed Imtiaz has extensive experience at Grameenphone Ltd, spanning multiple roles and responsibilities. He served as Head of Circle CLM from 2016 to 2018 in Business Circle Marketing in Khulna & Dhaka. Prior to that, he was a Lead/Specialist in Business Intelligence from 2013 to 2016 at the Head Office in Dhaka. Before these roles, he was an Officer/Specialist in CRM from 2009 to 2013, and an Officer/Part-Time employee from 2006 to 2009 in Rajshahi Regional Sales.
Educational Background and Qualifications
MD Rashed Imtiaz has a robust educational background. He completed his Master of Business Administration (MBA) with a major in Marketing from the Asian University of Bangladesh. He also holds a Master of Science (MS) and a Bachelor of Science (BSc) in Applied Statistics from Dhaka University. Additionally, he studied Beginners Level French at Alliance Française de Dhaka.
Skills and Expertise
MD Rashed Imtiaz is proficient in various technical skills crucial for data analysis and performance management. He has expertise in customer profiling and segmentation, advanced Microsoft Excel, statistical knowledge, data visualization with Tableau, and SQL for managing and querying large datasets.