Deepak Jhanji

Deepak Jhanji is an experienced Machine Learning Engineer currently with CAFU, where Deepak develops machine learning solutions for various products and services, focusing on optimizing demand and supply forecasting. Prior roles include Associate Manager Data Science at EY, leading a project on a recommendation engine using knowledge graphs, and Senior Applied Data Scientist at dunnhumby, working on media attribution models and customer lifetime value predictions. Deepak also served as a Data Scientist at Publicis.Sapient, where significant predictive models were built for various clients, including a successful campaign for Michael Kors that significantly increased revenue. Earlier experience includes data analytics roles at Zomato and BT Global Services, and a system administrator position at Convergys India Services. Deepak holds a Bachelor of Technology in Computer Engineering and has pursued advanced studies in Business Analytics and Artificial Intelligence from respected institutions.