I am a Data Science professional with 4+ years of experience in credit risk analytics within FinTech environments, specializing in end-to-end model development and risk strategy for different portfolios. I have hands-on experience in building and deploying credit risk models and scorecards, including application, behavioral, bureau-based, collection, and banking transaction-based scorecards. My work spans across the complete model lifecycle from feature engineering, variable creation, and model development to validation, monitoring, and governance. I have worked extensively with bureau data, banking transaction data, and alternative datasets, including real-time transaction data for fraud analytics use cases. Through my experience, I bring a strong understanding of how hiring managers evaluate profiles in Data Science and Credit Risk domains. I focus on helping candidates present their experience in a way that is aligned with industry expectations, improves ATS compatibility, and increases their chances of getting shortlisted.