● Engineered distinct XGBoost propensity models for Credit Cards and Personal Loans, analyzing customerintent, predicting approvals, and estimating higher sanction amounts. This strategic application led tooutstanding results, including a 5x surge in card approvals and a 3x increase in loan disbursals withindesignated marketing campaign channels.● Reverse-engineered and improved machine learning models for credit card approval across three keylending partners. Implemented end-to-end process automation, leading to a substantialreduction inprocessing time and the expansion of the customer base. This strategic move resulted in an impressive 2xincrease in overall card approvals, contributing significantly to business expansion.● Revolutionized reporting processes by developing Tableau dashboards, automating previously manual tasks.Implemented seamless integration with Slack and Google Chat to disseminate daily views, ensuring timelyand efficient communication to relevant folks.● Collaborated across functional teams to streamline and automate data reporting, ETL pipelines, anddashboarding processes. Successfully reduced manual workload by 50%, improving data accuracy,timeliness, and identifying avenues for data-driven decision-making.● Provided leadership to a team of three data analysts, guiding them through various data analytics tasks topromote data-driven decision-making and ensure the delivery of high-quality insights within demandingdeadlines.

● Created a Probability to Default(PD) Model using Machine Learning to find the potential defaults &delinquency for banks on kaggle dataset.● Developed Statistical and Exploratory Data Analyses using advanced analytics to pinpoint trends andoutliers. Informed decision-making with actionable insights, optimizing strategic initiatives and businessoutcomes.