I am a professional Data Scientist who designs action-oriented ML models, designs and optimizes ELT pipelines and delivers data-informed decision-making for complex business problems. I have solid academic and practical backgrounds in large-scale clustering, optimization, operations research, and network sciences.

Originally from Bangladesh, I moved to Canada in 2014 to study for my M.Sc. in Computer Science at the beautiful Okanagan campus of the University of British Columbia. After completing my master's, I pursued my Ph.D. in Computational Science and Engineering as a part of the Marketing and Supply Chain Analytics (MiSACN) research group at McMaster University.

During my Ph.D., I was fortunate to receive the Mitacs Accelerate Fellowship three times (for three years) to work with a Canadian FinTech company. This experience was the primary motivating factor for me to pursue my career in the industry.   

As an enthusiastic reader, I enjoy exploring a wide range of topics, including history, anthropology, psychology, and politics. I am always eager to embrace new experiences, diverse cultures, and different perspectives.