Ravi Ranjan is a full-stack Data Scientist and Machine Learning Engineer, Author, Speaker, and Mentor. He holds a Bachelor's degree in Computer Science & Engineering with a professional course in Reinforcement Learning. He has professional experience of 9+ years in AI and ML at scale with expertise in building enterprise data solutions and ML Engineering. He is part of the Centre of Excellence and is responsible for building ML products from inception to production. He has worked on multiple engagements with clients mainly from the Automobile, Banking, Retail, and Insurance industry across geographies. He has expertise in building a hyper-personalized recommendation system for the automobile industry focused on machine learning, deep learning, and real-time data processing on a large scale using Kubeflow which helps the client to increase test drive booking by 900%. As a Principal Data Scientist at Publicis Sapient, he is working on designing and building a scalable machine learning platform to predict customer behaviour on customer 360 data for one of the leading retail clients in South America. Achievements: • Speaker at Fifth Elephant and Open Data Science Conference. • Certified Google Cloud Architect. • Presented research papers at the International conference (IEOM). • Member of the IEOM journal review panel. • Open-source contributor in GitHub for Kubeflow. • Data Science Mentor for interns from IITK, IITM, and IISc. • Data Science Mentor at IIM, Indore. In thoughtful mode, I spent my time in learning new technology.