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Kashif Saiyed is a seasoned data science professional with extensive experience in machine learning and MLOps across various industries. Currently serving as the Data Science Lead for Holcim, Kashif is leading initiatives for quality maintenance applications as part of Industry 4.0. Previous roles include Senior Data Scientist at Holcim, where leadership was provided for multiple product phases, and Data Scientist at Unilever, where impactful analytics drove significant top-line growth. Additionally, Kashif has held roles as a Guest Lecturer, Data Scientist at Bajaj Auto Ltd, and Machine Learning Engineer at Tumour Trace, notably achieving a high accuracy rate for cervical cancer identification. Educational credentials include a Bachelor's degree in Computer Science & Network Engineering from RMIT University, a Master of Technology in AI & ML, and a Master's degree in Data Science from NMIMS.