• 5.9 years of diversified experience across domains like credit risk analytics, marketing analytics, fraud analytics and customer analytics. • Experience in conducting comprehensive model validation and performance review of classification models and reviewing OCC compliance. • Experience in providing data-driven insights to organizations to help them streamline operations, cut costs and explore new avenues of revenue. • Experience in SAS and Python. • Proficient in statistical methodologies: Linear & Logistic Regression, clustering and correlation. • Knowledge of Machine learning techniques like neural networks, gradient boosting machine and support vector machine. • Knowledge of Basel guidelines and EBA guidelines for PD, LGD and EAD Models. ©

interested area: Qt Robot Operation System ©