Dr M Maruf Hossain

Dr Hossain is an experienced data science leader and advanced analytics consultant with over 10 years of experience in the private sector, public sector, and academia. He is passionate about using machine learning and advanced analytics techniques to discover actionable insights and/or automate operations to drive business value. He has served various industries such as telecommunications, energy, financial services, and the government.
He is skilled across a range of machine learning and data mining technique and is driven in the motivation to apply and extend these. His skills are built on a solid quantitative foundation: having a PhD in machine learning from The University of Melbourne, a master degree in software engineering from the Deakin University and an Honours in mathematics from the University of Dhaka.
Currently, he is the Data Scientist Chapter Lead for ANZ Bank, and previously served as the Head of Data Science for Credit Clear, Chief Data Scientist for Telstra Global Enterprise and Services through Infosys Consulting. He also served as the Technical Lead for multiple data science projects for the Australian Government. He has built the data science practice for IBM Australia Global Business Services that includes developing and delivering training, mentoring etc.
He has co-authored numerous research papers on data mining and machine learning; and whitepapers for different industries including banking. His algorithms have been the core component of many high-impact national projects like Australian Crime Commission-lead Taskforce Eligo that sieged over $580 million in cash, drugs and assets in 2013, multi-agency National Security Operations that sieged to deploy more Australian soldiers to fight ISIS based on his analytical report that advised the Prime Minister & Cabinet (PM&C) against it, and the Department of Human Services (DHS) funded entity resolution project that brings together entities from Centrelink, Medicare, and/or other DHS products as well as from transaction records and Australian Tax Office (ATO) data, which is the foundation of the Australia.gov.au.

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