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Shibbir Ahmed Arif is an AI and Data Science Specialist with over four years of experience in machine learning, statistical modeling, and data-driven decision-making. He has extensive expertise in Python, SQL, AWS, Databricks, and Apache Spark, and has developed end-to-end predictive models across diverse domains.

His work focuses on leveraging advanced analytics and artificial intelligence to extract meaningful insights from large-scale datasets. His research interests include AI in healthcare, natural language processing (NLP), and applied machine learning. He is particularly interested in building intelligent systems that support real-world decision-making in healthcare and business environments.

Specialization

Artificial Intelligence
Machine Learning
Health Informatics
Natural Language Processing
Predictive Modeling

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