Uday Khanna is a Data Scientist at Pahle India Foundation (PIF). He holds a bachelor’s and master’s degree in Economics and is currently pursuing an MSc in Financial Engineering from WorldQuant University, with a focus on advanced analytics in finance. He specializes in analyzing structured and unstructured data, with an emphasis on automation, econometrics, and policy-oriented research. His experience spans trade analytics, API integration, automation workflows, machine learning and natural language processing—contributing data-driven insights to support evidence-based decision-making.