Healthcare Data Analyst at Children’s Clinic of Michigan, United States
Professional Profile
Google Scholar
Education
Mr. Abdullah Al Nahian has built a strong academic foundation that supports his career in technology and research. He earned his Bachelor of Science in Computer Science and Engineering from the University of Liberal Arts Bangladesh, where he developed core knowledge in programming, software development, and system design. To further strengthen his expertise, he pursued a Master of Science in Information Studies at Trine University, Detroit, with a focus on data analytics, information systems, and applied research. His academic journey has been complemented by professional certifications, including Project Management Professional (PMP), Advanced Database, and Cybersecurity, which add specialized knowledge to his technical profile. This combination of formal education and certifications demonstrates his commitment to continuous learning and skill development. By bridging theoretical understanding with practical applications, his educational background provides a strong base for his professional roles and impactful research contributions in data science, healthcare analytics, and machine learning.
Experience
Mr. Abdullah Al Nahian brings extensive professional experience across multiple domains of information technology, data analysis, and project management. Currently working as a Data Analyst at the Children’s Clinic of Michigan, he specializes in gathering, securing, and analyzing healthcare data to improve patient outcomes and operational efficiency. His previous roles include Assistant Coordinator at Polock Group BD, Network Engineer and Assistant Manager at Agni Systems Ltd., and Software Developer at NKSoft BD. Across these roles, he developed expertise in network engineering, customer support, ERP systems, project coordination, and administrative leadership. His career began with web development, gradually expanding to more advanced responsibilities involving data-driven decision-making, system monitoring, and organizational leadership. This progression highlights his adaptability and growth across technical and managerial domains. Additionally, his volunteer work as an IT Specialist further demonstrates his dedication to using technology for organizational improvement and staff empowerment. Collectively, his diverse experience reflects both technical mastery and leadership capability.
Research Focus
Mr. Abdullah Al Nahian’s research focuses on the intersection of data science, healthcare, and machine learning, reflecting both technical innovation and practical significance. His work includes developing predictive models to optimize healthcare outcomes, leveraging data-driven insights to improve patient care and resource management. He has also co-authored research on cancer stage classification using numerical biomarker data, showcasing the role of artificial intelligence in advancing medical diagnosis. Beyond healthcare, his contributions extend to neural network-powered recognition systems, such as automated license plate detection, and in-depth studies on project management and visualization techniques. His approach emphasizes applying computational methods to solve real-world problems, combining theoretical rigor with practical utility. Through his publications in recognized scientific platforms, he demonstrates a commitment to advancing knowledge in applied machine learning, data analytics, and information systems. His research is notable for addressing global challenges in healthcare and technology, bridging academic inquiry with societal impact.
Award and Honor
Mr. Abdullah Al Nahian has established himself as a promising researcher whose academic and professional achievements make him a strong candidate for recognition. His research contributions, published in respected scientific journals and platforms, reflect innovation and applicability in critical domains such as healthcare analytics, artificial intelligence, and project management. Co-authoring multiple peer-reviewed publications within a short period demonstrates his dedication to scholarly excellence and collaborative research. His academic journey, complemented by certifications in project management and cybersecurity, highlights his commitment to professional growth and expertise. In professional settings, he has consistently been recognized for leadership, technical problem-solving, and delivering solutions that improve organizational performance. While his portfolio primarily emphasizes research and professional contributions, his trajectory indicates strong potential for continued recognition through awards that honor innovation, interdisciplinary impact, and societal value. His blend of academic, research, and professional accomplishments positions him as a valuable contributor deserving of future honors.
Publications Top Notes
-
Title: Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling
Authors: MNM Sunny, MBH Saki, A Al Nahian, SW Ahmed, MN Shorif, J Atayeva, …
Year: 2024
Citations: 33
-
Title: Project Management and Visualization Techniques A Details Study
Authors: MNM Sunny, MBH Sakil, A Al
Year: 2024
Citations: 24
-
Title: Neural Network-Powered License Plate Recognition System Design
Authors: S Hasan, MNM Sunny, A Al Nahian, M Yasin
Year: 2024
Citations: 19
-
Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
Year: 2024
Citations: 3
-
Title: Optimizing Prescription Practices Using AI-Powered Drug Substitution Models to Reduce Unnecessary Healthcare Expenditures in Outpatient Settings
Authors: A Al Nahian, S Samia, MTM Hussan, F Mahmud, MNM Sunny, SW Ahmed, …
Year: 2025
-
Title: A Critical Review of Network Management Tools and Technologies in the Digital Age
Authors: AAN Zakia Sultnana Munmun, Md Minhajul Amin, K M Shihab Hossain
Year: 2024
Conclusion
Mr. Abdullah Al Nahian’s research portfolio demonstrates a consistent focus on applying data-driven approaches and machine learning techniques to solve critical challenges in healthcare, project management, and technology systems. His publications reflect both academic rigor and practical relevance, particularly in predictive healthcare modeling, cancer diagnosis, and AI-powered optimization solutions. The diversity of his work, ranging from network technologies to medical applications, highlights his ability to bridge interdisciplinary fields and contribute meaningful innovations. With multiple citations already attributed to his recent publications, his research is gaining recognition and impact in the academic community. His role as co-author in several high-quality studies also emphasizes strong collaboration skills and commitment to advancing collective knowledge. Overall, his contributions position him as a capable and promising researcher whose work holds significant value for both academic advancement and real-world problem-solving.