Prateek Anand is a highly experienced full-stack applied scientist/machine learning engineer with over a decade of experience in the tech industry. He has built and productionized machine learning models for various use cases, including real-time prediction, and has prototyped several other use cases. With proven expertise in data science, software engineering, and distributed systems, Prateek can translate business problems into data science problems, mine useful insights from data, develop predictive models, build end-to-end machine learning software solutions, and deploy data science models at scale. He has also demonstrated innovative products in international technology events such as the Mobile World Congress and Consumer Electronics Show. Besides, he has won several data science and coding hackathons, proving his capabilities and expertise as an applied scientist/machine learning engineer. Prateek holds a Bachelor's degree from SASTRA University and a Master of Science (M.S.) from the University of North Carolina at Charlotte.

As a Senior Data/Applied Scientist - Machine Learning at Ticketmaster, Prateek is responsible for developing and productionizing machine learning models that help Ticketmaster better understand its customers' needs and preferences, providing a seamless and personalized experience. Previously, he worked as a Data Scientist & Lead Engineer - Cloud Infrastructure Data Science at Radisys Corporation, where he built and productionized machine learning models that optimized the usage of cloud infrastructure resources. Prateek has also served as Technical Lead - Machine Learning & Internet of Things and Senior Engineer - Intelligent Systems at Continuous Computing (acquired by Radisys), where he developed and deployed machine learning models that power intelligent systems and devices.