
Driven by a passion for data analytics, I excelled at SBI Cards & Payment Services by enhancing decision-making through predictive modeling and strategic data analysis. Leveraging Python and Tableau, I delivered actionable insights, significantly improving recovery rates and operational efficiency. My collaborative approach and analytical prowess have consistently driven business success.
FRM (Financial Risk Management) Part 1, Global Association of Risk Professionals (GARP)
Analyzed student behavior using JMP to identify factors influencing GPA, developing a multiple linear regression model (adjusted R² = 0.54). Conducted stepwise regression, validated assumptions with residual plots, and identified study hours (positive impact) and extracurricular hours (negative impact) as key predictors, addressing multicollinearity and response bias. Analyzed customer shopping trends using Python, Pandas, Matplotlib, and Seaborn to uncover insights into purchasing behavior across demographics, product categories, and payment methods.
.Successfully calculated Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for the portfolio, ensuring meticulous adherence to established policies and seamless integration of IFRS 9 principles. Despite challenges posed by the COVID-19 pandemic, implemented critical adjustments to maintain compliance with RBI guidelines, showcasing adaptability and regulatory expertise."