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Breakout 10: TransUnion: Optimizing Prescriptive Credit Score Improvements Via Counterfactual Models

04:00 PM - Monday, September 14
Silvernightingale

Discover how counterfactual models and other advanced analytic techniques can provide consumers with actionable guidance to improve credit outcomes while helping lenders identify opportunities to responsibly expand approvals. This session explores the methodology, key assumptions, and practical use cases that balance customer experience, portfolio growth, and risk management.

Speakers

Shabnam Chitsaz

Shabnam Chitsaz

Senior Manager, Data Science & Analytics, TransUnion

Shabnam Chitsaz is a credit risk and advanced analytics professional at TransUnion Canada with a Ph.D. in Statistics and a Master's degree in Financial Modeling. She specializes in credit risk modeling, model governance, and AI-driven analytics, partnering with financial institutions to develop innovative risk solutions and transform complex data into actionable business insights. Her work spans traditional credit risk methodologies as well as emerging applications of machine learning and alternative data in financial services.

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