I am an experienced analytics professional with 6+ years of experience in delivering impactful solutions for clients in the BFSI domain. With a post-graduate degree from NIT Warangal in mathematics and its application in computer science, I have developed a suite of underwriting ML score models and PD models to manage risk for US Credit Unions. In addition to this, I have managed governance and compliance aspects such as Disparity Impact Analysis (DIA) and generating Adverse Action (AA) codes for risk models. I possess a great analytical mindset and strong problem-solving and communication skills, with expertise in advanced Python programming, SQL, MS Excel, and Tableau.My skills also include algorithms such as XGBoost, Random Forest, Decision Tree, and Linear and Logistic Regression, and model tuning techniques like Bayesian Optimization, Random Search, and Grid Search. I am well-versed in model explainabaility techniques such as Shapley Values, which has enabled me to provide my clients with greater insights and transparency into their models.Overall, I am passionate about using my skills and expertise to help my clients achieve their business goals and stay ahead in the industry.