Ahmed Al Ani
About Ahmed Al Ani
Ahmed Al Ani is an Advanced Data Scientist at Feedzai in Sydney, Australia, with a PhD from Queensland University of Technology. He has extensive experience in data science, having previously worked at Sydney Trains and as a senior lecturer at the University of Technology, Sydney.
Work at Feedzai
Ahmed Al Ani has been employed at Feedzai as an Advanced Data Scientist since 2019. In this role, he focuses on studying fraud patterns and developing features to identify fraudulent transactions. His work contributes to enhancing the company's capabilities in fraud detection and prevention, leveraging advanced data science techniques.
Education and Expertise
Ahmed Al Ani earned a Doctor of Philosophy (PhD) from the Queensland University of Technology (QUT). His academic background provides a strong foundation for his expertise in data science, particularly in areas such as pattern classification, feature extraction, and dimensionality reduction.
Background
Prior to his current role, Ahmed Al Ani worked as a Data Scientist at Sydney Trains from 2018 to 2019. He also served as a Senior Lecturer at the University of Technology, Sydney (UTS) for 14 years, from 2004 to 2018. His experience spans both academia and industry, where he has developed algorithms to solve real-life problems.
Achievements
Ahmed Al Ani has published over 100 papers in various fields related to data science. His contributions include research in pattern classification, feature extraction, and dimensionality reduction. Additionally, he has engaged with customers by delivering data science training sessions and has supervised numerous PhD and Master by Research students.