About

Umang Kaul is a data analytics and data science professional with over 7 years of experience in the field. He is currently working for a UK retail client, where he is developing a cutting-edge intelligent food trend analysis tool that uses bespoke algorithms leveraging the power of AI to identify and analyze food trends from around the world. The platform provides a single user-friendly interface where users can search for products of interest or gain insight into top trending ingredients, diets, cuisines, dishes, and more. Prior to his current role, Umang was part of Accenture Digital - Applied Artificial Intelligence, where he developed machine learning and deep learning models for internal Accenture digital products, including the Customer Experience Engine. He developed models predominantly for e-commerce/retail clients based on concepts such as market basket analysis, customer segmentation, product recommendation engines, and sentiment analysis. Umang has a background in operations development, merchandising/demand planning, forecasting and replenishment, and warehouse management systems. He holds several certifications, including Data Scientist with Python, Reltio Advanced Cloud Configuration, Splunk User 6.X, Six Sigma Yellow Belt, Retail Generalist, and Accenture Agile in the New. Umang has a Bachelor's degree in Electronics and Communications Engineering from Jadavpur University. He also attended Sumermal Jain Public School and Vishwa Bharti Public School for his secondary education and Blue Bells for his primary education. Umang's tech stack includes data science, AI, machine learning, deep learning, sentiment analysis, search, NLP, Python, research scientist, and SQL. He is a thoughtful and analytical professional who is passionate about using data to drive business decisions.