Pooja Jambaladinni

Pooja Jambaladinni is an accomplished data scientist with extensive experience in various sectors. Currently employed at iGenius since October 2022, Pooja contributes to the Crystal - The Virtual Advisor services, focusing on anomaly detection, automated forecasting, suggestion tips, knowledge graph development, and text generation with large language models. Previous experience includes developing a predictive analytics system for stock market trends at ATS Relab and conducting a master thesis on time series forecasting for customer churn at Enel Group. Pooja also has a solid foundation in data science and technology from Happiest Minds Technologies, where work involved student attrition prediction and the creation of a product recommendation engine. Academic credentials include a Master's degree in Data Science from Sapienza Università di Roma and a Bachelor's degree in Computer Science and Engineering from New Horizon College of Engineering.