Mohammad Moniruzzaman
About Mohammad Moniruzzaman
Mohammad Moniruzzaman is an Economic and Socio-Economic Analyst with a PhD from the University of Waterloo-Wilfrid Laurier University joint doctoral program. He has extensive experience in quantitative modeling, data analysis, and has held various positions within the Government of Canada, while also serving as an Adjunct Professor at Conestoga College.
Work at Government of Canada
Mohammad Moniruzzaman has held multiple roles within the Government of Canada. He worked as a Program Analyst in the Legislative Policy and Regulatory Affairs Branch (LPRAB) of the Canada Revenue Agency (CRA) from 2019 to 2021. Following this position, he served as an Analyst in the Oversight and Investigations Sector of the Public Service Commission (PSC) from 2021 to 2022. Currently, he is employed as an Economic/Socio-Economic Analyst, a role he has held since 2022.
Education and Expertise
Mohammad Moniruzzaman has an extensive educational background. He completed a Doctor of Philosophy (PhD) in a joint doctoral program at the University of Waterloo and Wilfrid Laurier University from 2011 to 2016. He also holds a Master’s Degree in Public Administration from the University of Chittagong, which he obtained in 1996. Additionally, he earned a Master’s Degree in Economics from Ritsumeikan University between 2005 and 2007. His expertise includes quantitative models, statistical and econometric modeling, and predictive modeling.
Current Role as Adjunct Professor
Since 2018, Mohammad Moniruzzaman has been serving as an Adjunct Professor at Conestoga College, specifically within the Conestoga Institute of Technology & Advanced Learning in Kitchener, Canada. In this role, he contributes to the academic development of students by leveraging his extensive knowledge in economics and data analysis.
Skills in Data Analysis and Visualization
Mohammad Moniruzzaman possesses strong skills in data extraction, exploration, and analysis. He is adept at using various tools and techniques for predictive modeling and is capable of effectively visualizing data. His ability to develop presentation and training materials enhances his contributions in both academic and governmental settings.
Online Training Platform Development
He has developed an online training platform called 'Data Analytics' on YouTube. This initiative aims to facilitate learning in data modeling topics, providing accessible resources for individuals interested in enhancing their skills in data analysis.