About

Nikhil Asati is a highly skilled Consultant with over 4 years of experience in credit risk analytics. He is currently working as a Project Manager at EXL Service where he is responsible for solving card attrition problems by utilizing analytical and modeling approaches for one of the largest US Banks. Nikhil has designed a methodology to target attritors and match them with the most profitable offers to curb retention. Nikhil has a strong academic background, having earned his Engineer’s Degree in Materials Science Engineering from the prestigious Indian Institute of Technology, Kanpur. He has also completed courses in Analyzing and Optimization of Supply Chain Models from the Indian Institute of Management. Prior to his current role, Nikhil worked as an Associate Consultant at Capgemini where he developed a solution to classify and segregate documents used in banking transactions using Bag-of-words and KNN algorithm. He has also gained experience in analyzing and optimizing supply chain models during his time at the Indian Institute of Management. Nikhil has a strong technical background and is skilled in Machine Learning. His Tech Stack includes ML, which he has utilized in his previous roles. With 5.86 years of relevant experience, Nikhil has developed a deep understanding of credit risk analytics and has demonstrated his ability to solve complex problems through his analytical and modeling approaches.