Shibbir Ahmed Arif
- Adjunct Instructor, CSIT/STAT School of Computing
- arifs@montclair.edu
Biography
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.
Research
Artificial Intelligence
Machine Learning
Health Informatics
Natural Language Processing
Predictive Modeling
Media Expertise
Artificial Intelligence
Machine Learning
Health Informatics
Natural Language Processing
Predictive Modeling
Related Links
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