Akashdeep Das is an IBDP student at GEMS Modern Academy. He has a strong interest in mathematics, physics, computer science, and applied research. He has also achieved top ranks in several mathematics and physics Olympiads, including competitions organised by UKMT and CEMC.
His curiosity about numbers has grown into an interest in algorithms, artificial intelligence, and real-world problem-solving. In addition, he has developed AI-based projects and continues to explore research at the intersection of mathematics and computer science.
Researching E-Commerce Fraud Forecasting
At CCIR Academy, Akashdeep explored data-driven approaches to fraud detection through his research paper, Probabilistic Forecasting of UAE E-Commerce Fraud under High Variance.
His study investigates how probabilistic forecasting can help predict e-commerce fraud in the United Arab Emirates. Specifically, it examines ways to model uncertain and highly variable fraud patterns.
Improving Fraud Detection and Digital Security
Akashdeep’s research focuses on improving the accuracy of fraud risk detection and forecasting. Furthermore, its findings aim to support stronger fraud prevention strategies.
These approaches could also help enhance security across the UAE’s growing digital commerce sector.
Sharing His CCIR Academy Research Journey
Akashdeep shared his research experience in a CCIR Academy Student Spotlight episode. He discussed the guidance he received from his mentor and the insights he gained throughout the research process.
His experience reflects his interests in mathematics, computer science, artificial intelligence, and practical applications of technology.
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