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Optimizes ML-driven lending systems by monitoring, retraining, and developing new models for automated decision-making, integrating data sources, and refining pipelines for accuracy and scalability.
Principal Data Scientist owning credit risk modelling, ML pipelines, scoring, and underwriting models to drive lending decisions. Uses Python and SQL for financial forecasting and feature engineering within a fintech context.
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