Transforms messy multi-modal data and process constraints to return models both the board room and the control room can actually trust.
Sagarika is a gifted and experienced Data Scientist with a rich professional and academic history at a young age. Since 2024, Sagarika has successfully led and overseen formal Data Science; such as preprocessing, validation, and automation of data and workflows with IQ Fortune 500 clientele; design, architecture, and engineering of AI|ML powered client solutions; as well as internal R&D for IQ AI|ML productization.
Before joining IQ, Sagarika held responsible positions with Extreme Networks (Software Engineer, Machine Learning) and Brown University (Graduate TA, and Data Science Research Assistant). She holds an MSc in Data Science from Brown University, where she was also a Data Science Exchange Scholar to Harvard University.
