Senior Data Scientist
Current• Engineered three daily risk prediction models tailored to different loan IDs within a bank. These included two machine learning models—Logistic Regression and Random Forest—alongside a rule-based weighted average model. The objective was to extract key insights into riskier loan IDs, enabling banks to make well-informed decisions when approving future loans.• Collaborated with onshore and offshore teams, including design and data science units, to develop a diagnostic proposal for optimizing cloud resources in the financial and wealth management sector. Utilized monthly cloud spend data to analyze and provide strategic recommendations, aiming to enhance cost-effectiveness within the client's cloud infrastructure