Strategic Data Analysis for Policy Renewal: Achieved a improvement in policy renewal rates by conducting comprehensive statistical analysis of sales data using SQL and Power BI at Majesco 360. Applied advanced machine learning techniques to identify significant trends, optimizing renewal strategies through data-driven insights.• Fraud Detection via Machine Learning: Successfully implemented machine learning algorithms within a data mining framework to scrutinize over 5,000 claim registrations monthly. This initiative led to a reduction in fraudulent claims and enhanced operational efficiency by 20%, ensuring more robust and secure insurance processes.• Risk Management and Data Handling: Managed vast datasets in SQL Server to bolster risk assessment and policy development, resulting in a decrease in risk-related losses. Employed Python to develop and deploy sophisticated machine learning models that significantly improved decision-making processes, thereby increasing customer satisfaction and boosting company profit margins.• Technical Leadership and Innovation: Spearheaded a team of data scientists and analysts to deploy these models, continuously refining techniques and introducing innovative solutions to meet evolving business needs.• Performance Metrics and Reporting: Designed and implemented dynamic reporting tools to track performance metrics and outcomes of machine learning initiatives, providing transparent and actionable feedback to senior management for strategic decision-making.

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