Atif is an experienced Ph.D. Data Scientist with a proven track record of 5 years in the field, specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. He is adept at leveraging advanced analytics and programming skills in Python and C# and utilizing frameworks such as Keras, PyTorch, and TensorFlow. Muhammad is passionate about developing innovative algorithms to address complex challenges in diverse domains, including human activity detection, healthcare, sports analysis, sleep disorders pattern identification, semiconductor manufacturing, automatic defect classification, test-time reduction (TTR), and wafer map pattern classification. With a keen ability to extract actionable insights from large datasets and an unwavering commitment to driving data-driven decision-making, he consistently delivers valuable solutions that enhance operational efficiency and strategic planning.Having completed my Ph.D. in the EECS International Graduate Program at National Yang Ming Chiao Tung University, Taiwan, I have gained extensive knowledge and expertise in these domains.