Highly motivated Data Scientist with specialized expertise in Credit Risk Modeling and IFRS 9 Compliance. Proficient in utilizing advanced statistical techniques, machine learning algorithms, and economic modeling to develop robust and interpretable solutions for financial institutions. Skilled in Python, R, and big data tools such as PySpark and SQL, with hands-on experience in building end-to-end pipelines for predictive analytics, risk assessment, and portfolio optimization. Adept at extracting actionable insights from high-dimensional and complex datasets to analyze consumer behavior, forecast economic trends, and design scalable decision-making frameworks. Demonstrates a deep understanding of artificial intelligence and its applications in economics, with a track record of deploying models in production environments to deliver measurable value.
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