About

Vipin K. is a highly skilled Data Scientist with over a decade of experience in Analytics, Data Science, Data Engineering, and Machine Learning. He is an expert in marrying Artificial Intelligence with Business Models to drive growth, with deep domain expertise in FinTech, lending, and banking industries. Vipin is currently the Director of Data Science at yubi, where he heads the Data Science team for CredAvenue Collections Vertical. He specializes in end-to-end ML solutioning for collections to enhance collections efficiency while simultaneously increasing Bank NPS. Prior to his role at yubi, Vipin served as the Head of Data Science and Analytics at Liquiloans, where he transitioned the peer-to-peer lending system towards automated machine learning-based decision making. He was also the Head of Analytics and Data Science at L&T, where he led a team of 20+ data scientists, data engineers, and economists who worked on revolutionizing the Income Tax landscape of India by integrating Machine Learning and statistical predictions into the functioning of the Income Tax Department. Vipin has also contributed significantly to the development of Network Science-based innovations, as an experienced Network Scientist. His team developed models for predicting financial disclosure fraud, tax evasion, and fraudulent financial activities taking part in India. Vipin holds a Master of Business Administration degree in Strategy, Finance, and Operations from the Indian School of Business (ISB) and a Bachelor of Technology degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Kanpur (IIT). He also attended Delhi Public School, RK Puram, Delhi. Vipin's technical skills include Data Science, AI, ML, Research Scientist, P2P, Data Engineering, Deep Learning, Mobile, SQL, AWS, Recommendation System, Random Forest, Computer Vision, RNN, NLP, Python, and Infra. With his extensive experience in Business Operations, Vipin has a relevant experience of 9.29 years and is passionate about evangelizing AI in Finance.