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Business-Applied Statistical Results

To address the need for managing regulatory risks and optimizing commercial offerings, I executed Stress Testing and BUST (Bottom-Up Stress Test) for SUGEF. My primary role involved projecting key macroeconomic variables—such as inflation, interest rates, and exchange rates—where I successfully synthesized statistical results with senior management’s expert judgment. This balance ensured that projections were not merely figures, but validated scenarios accepted by the business for critical decision-making.

Rather than providing “black box” models, I delivered transparent tools that enabled managers to clearly identify the right products for each client. By automating these reports and engineering high-value variables through Machine Learning, I transformed the Data Warehouse into a solutions engine that aligns technical rigor with the organization’s strategic objectives.