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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Arifur Rahman

Arifur Rahman is a Business Analyst and researcher specializing in Artificial Intelligence (AI) and Machine Learning (ML). He uses data, AI, and ML to improve business decisions, enhance efficiency, and support sustainable growth. His work combines business understanding with technical expertise, bridging the gap between data science and real-world strategy. He earned a Master of Business Administration in Management from the National University, Bangladesh, one of the country’s largest public universities known for its strong foundation in business and management education. He also completed an MBA in Business Analytics from the International American University (IAU), USA, which emphasizes practical learning in data analytics, technology, and leadership. His coursework included Business Analytics and Data Processing, Applied Decision Making, Strategic Management, and Management Information Systems, reflecting his focus on data-driven strategy and AI-based business transformation. Arifur has designed and applied AI and ML models for customer segmentation, predictive forecasting, fraud detection, energy management, and supply chain analysis. His research explores how organizations can use data responsibly to make informed decisions. He focuses on data-driven approaches that promote efficient and responsible resource use. His goal is to create simple, reliable analytical solutions that help organizations and communities make informed and sustainable choices. His work reflects a deep commitment to advancing responsible AI innovation that supports data-driven growth and sustainability in the digital economy.
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