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Rabbiya Hanif is the Project Lead at Odetta, a position they have held for four years. Rabbiya has also been the AM Lead, Quality Control, and Data Analyst at Odetta.ai. Rabbiya has a passion for data and analytics and enjoys working with teams to improve quality and efficiency.

Rabbiya Hanif has a Master of Science from the National University of Sciences and Technology (NUST) in Computational Science and Engineering, a Bachelor of Science from COMSATS University in Bioinformatics, and O' Levels in Sciences from Aims Education System. Rabbiya is currently enrolled in a few online courses, including Deep Learning for Object Detection and Sematic Segmentation in Visual Data from NUST, Camera and Imaging from Columbia University in the City of New York, and Python Project: Pillow, Tesseract, and OpenCV from the University of Michigan. Rabbiya has also completed courses in Data Science: R Basics from HarvardX - An Online Learning Initiative by Harvard University through edX, and The Science of Well-Being from Yale University.