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Personal profile


Iman is passionate about extracting business insight using data. He has built a variety of statistical models and machine learning tools to solve interesting data problems, such as Credit Card Fraud Detection, Time Series Forecasting and Preventing Revenue Leakage.
He is passionate about all aspects of Data Analytics such as Knowledge Discovery, Pattern Recognition, Machine Learning, Visualisation & Storytelling. He has in-depth technical knowledge of data mining and machine learning including supervised learning (classification, regression, ensemble methods), unsupervised learning (cluster ensemble, network community detection) and deep learning (CNN, RNN).

Education/Academic qualification

Computer Science , PhD, Deakin University

Award Date: 15 Feb 2017

Research area keywords

  • deep learning
  • Machine learning algorithm
  • Pattern Recognition
  • Natural Language Processing