Professional experience: - credit risk modeling, predictive modeling, machine learning (GCP, Python, PySpark, SQL, R, SAS , C++, Julia, Matlab/Octave, VBA), - scoring/rating systems, - IRB models, IFRS9, - non-regulatory credit decision-making models - credit risk stress testing - Basel II/III, CRD/CRR, TRIM, EBA papers, - IT solutions for credit risk management, - bank's credit risk appetite. - agile Goals: - proficiency in applying machine learning techniques in diverse contexts of business decision-making Specialties: machine learning, credit risk modeling, Basel II/III, IRB, rating systems, risk management, credit risk metodologies, machine learning