Mohammad, Siami, is a principal data scientist with over 15 years of experience in AI, machine learning, and fraud detection across telecommunications, and financial service industries. He holds a Ph.D. in Artificial Intelligence from the University of Technology Sydney (UTS) and has led numerous AI-driven initiatives to combat financial crime.

Mohammad expertise is bringing AI align with business strategy to make sure AI-driven solution can create real impact. Currently leading AI and data science practices in fraud and financial crime team at Optus, he successfully developed AI-driven strategies to detect and prevent fraudulent activities in real-time. His approach combines hands-on technical expertise with strategic leadership to drive business impact.

Beyond his professional work, Mohammad actively engages with the data science and AI community, sharing insights on AI ethics, model interpretability, and AI-driven risk management. He is passionate about bridging the gap between cutting-edge AI research and practical applications in fraud prevention.