Assistant General Manager and Data Analyst at Days Inn & Suites by Wyndham Warren, United States
Md Minhajul Amin is an accomplished researcher and professional with expertise spanning healthcare analytics, artificial intelligence, big data, and digital systems. Holding advanced degrees in information systems and business administration, he combines strong analytical skills with practical experience in data analysis, project management, and operational optimization. His research portfolio includes impactful studies on machine learning for cancer detection, AI in project management, and telemedicine solutions, demonstrating a commitment to solving real-world challenges. Professionally, he has led initiatives to improve efficiency, enhance service quality, and drive community engagement. Recognized through awards, scholarships, and leadership roles, he has shown the ability to integrate academic rigor with practical results. Active in academic and professional communities, his memberships and leadership positions reflect a collaborative and forward-thinking approach. With a continued focus on research specialization and scholarly contributions, he is well-positioned to make significant contributions to his field and beyond.
Professional Profile
Google Scholar
Education
Md Minhajul Amin holds a Master of Science in Information Systems from Central Michigan University, specializing in business data analytics and project management, complemented by a Master of Business Administration and a Bachelor of Business Administration from Premier University, Bangladesh. His education reflects a strong interdisciplinary foundation, blending technical expertise with strategic business insight. Through his academic journey, he has engaged in diverse research and project work, from healthcare system development to marketing analysis, demonstrating the ability to bridge data-driven decision-making with organizational objectives. He has also completed multiple professional training programs in areas such as process mining, supply chain management, robotics process automation, and food safety, enhancing his technical and operational competencies. His academic background is marked by consistent achievement, supported by scholarships and recognition for both academic and extracurricular contributions, positioning him as a well-rounded professional equipped for impactful research and leadership roles.
Experience
Md Minhajul Amin has gained extensive professional experience across data analytics, project management, operations, and leadership roles in both the United States and Bangladesh. As Assistant General Manager and Data Analyst at Monroe Inns Inc., he has implemented data-driven strategies to optimize operations, improve efficiency, and enhance customer satisfaction. His prior role as Senior Executive at Rigel Shipping Services involved managing a large team, overseeing projects for port authorities, and driving operational excellence. At Central Michigan University, he served as a Student Coordinator and Student Assistant, conducting research on community engagement, service optimization, and library accessibility. His roles consistently demonstrate the ability to apply research insights to practical challenges, collaborate across teams, and lead initiatives that produce measurable results. Combining technical knowledge with organizational leadership, he has developed a reputation for innovation, adaptability, and the capacity to deliver high-impact outcomes across diverse sectors.
Research Focus
Md Minhajul Amin’s research centers on applying advanced analytics, artificial intelligence, and data-driven methodologies to address practical challenges in healthcare, project management, and digital systems. His projects have explored machine learning for cancer stage classification, AI-powered project portfolio management, telemedicine accessibility, fraud detection using multivariate analysis, and customer segmentation for personalized marketing. He is particularly interested in the intersection of technology and business strategy, focusing on how big data and AI can enhance decision-making, operational efficiency, and service delivery. His work demonstrates a balance between technical sophistication and applicability, emphasizing solutions that bridge the gap between research theory and real-world implementation. Through interdisciplinary approaches, he aims to contribute to the evolution of data-centric systems that not only improve organizational performance but also generate meaningful social impact, especially in areas like healthcare accessibility and digital transformation in developing regions.
Award and Honor