About

Sumit Chandani is a highly skilled Senior Data Scientist with over 8 years of professional experience in the banking domain across various roles in Strategy, Business Insights, and Quantitative Modelling. He holds an Integrated Masters of Science (M.Sc.) in Mathematics and Computing with a minor in Economics from IIT. Currently, Sumit is working at PayPal as part of the Global Seller Risk Management team where he is responsible for preventing seller frauds throughout their lifecycle. In his previous role at JP Morgan, Sumit was responsible for building Fraud Models, leveraging sophisticated Machine Learning Algorithms in a Big Data platform (using Apache PySpark and Hive) to mitigate fraud in Chase Consumer Banking Products like Credit Cards, Digital Money Transfers, and Cheques with effective Model Risk Management as per SR 11-7 Guidelines. Sumit is an expert in end-to-end development of machine learning models with expertise in working with vast data sets to break down information, gather relevant points, and solve advanced business problems. He has worked across different segments of banking – Merchant, Customer, Credit & Debit Lifecycle. Sumit's technical skills include Data Scientist, Research Scientist, ML, Big Data, and Apache Hive. He is a highly motivated and results-driven individual with a strong analytical mindset and a passion for solving complex business problems. Sumit has a proven track record of delivering high-quality results in a fast-paced and challenging environment. In addition to his professional experience, Sumit is an excellent communicator with strong interpersonal skills. He is a team player who enjoys collaborating with others to achieve common goals. Sumit is a quick learner and is always eager to expand his knowledge and skills.