At Bajaj Life Insurance, I built propensity, churn, and persistency models using logistic regression, decision trees, and neural networks. These models helped improve retention and identify upselling potential, driving 9.6 Cr and 12.5 Cr in incremental revenue.
I also developed scorecard-based targeting and micro-segmentation for sales workflows, and created Power BI and Tableau dashboards for KPI monitoring. My work spans Oracle SQL data extraction, model validation through A/B testing, and analytics for customer feedback and retention.
