Nilotpal Das

Background

About Nilotpal Das

With almost two decades of experience in the banking and financial services industry, I specialize in developing and validating credit and fraud risk models that enable organizations to make smarter, and accurate data driven decisions. My journey has spanned financial institutions and regulatory environments where accuracy, compliance, and innovation go hand in hand. I am certified in Python and SAS, and I am passionate about leveraging machine learning methodologies and advanced analytics to uncover insights that drive measurable business value. My work bridges traditional risk practices with modern data science techniques—helping organizations transition toward more agile, predictive, and scalable solutions. I thrive at the intersection of risk analytics, technology, and strategy, continuously exploring new tools and methodologies that can push the boundaries of what’s possible in risk modeling. Whether it's deploying explainable ML models or operationalizing analytics pipelines, I’m driven by the opportunity to create data-driven frameworks that support smarter, faster decision-making. Core Strengths: Credit & Fraud Risk Modeling Machine Learning & Model Development & Validation Python | SAS | SQL Data-Driven Strategy & Innovation I am always open to conversations on how data, analytics, and machine learning are reshaping the future of risk in banking and fintech. Let’s connect if you’re looking to bring advanced analytics and domain expertise together to solve meaningful challenges.