About

Gaurav Koradiya is a self-motivated and resourceful machine learning enthusiast with extensive experience in deep learning and natural language processing (NLP). He is currently pursuing a Master of Science degree in Artificial Intelligence at San Jose State University, where he also works as a research assistant. Gaurav has a passion for creating data-driven products that personalize the customer experience and establish a value-driven ecosystem for businesses. With 3.69 years of relevant experience, Gaurav has worked as a Lead Associate - Machine Learning at Genpact and a Data Scientist at Casepoint. At Genpact, he automated the Invoice Reconciliation System in the Account Receivable domain by developing a hybrid machine learning system with 92% accurate predictive capability. He also developed a generic machine learning interface for non-technical fellows to set up auto-categorization ML services without focusing on the technical aspects of the algorithm. At Casepoint, Gaurav deployed a machine learning service into the eDiscovery Analytics Platform to quickly identify the key groups of contextually similar documents by utilizing an unsupervised probabilistic topic modeling. He also engineered a human-centered active learning workflow to improve the document annotation system. Gaurav's education background includes a Bachelor of Technology degree in Information Technology from Uka Tarsadia University and a Higher Secondary School degree in Science-Mathematics from P.P. Savani Vidhyabhavan. He is proficient in various tech stacks, including ML, research scientist, AI, data scientist, deep learning, NLP, Elastic Search, search, and web. Gaurav is a quick learner with the ability to multitask and thrives in an environment that constantly embraces new technologies. He has conducted knowledge empowerment sessions on state-of-the-art research in AI to improve financial services.