Jagadish Vemula
Summer Intern @Insuranzee
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WORK HISTORY
Summer Intern @Insuranzee
Indore, IN
Analyze insurance products—including Fire Insurance (Bharat Sookshma Udyam Suraksha & Bharat Laghu Udyam Suraksha), Motor (Retail), Health (Family Floater), Liability, Marine Transit, Marine Inland, Open Declaration, Indemnity, Medical Establishment, and Workers’/Employees’ Compensation—to evaluate coverage, identify underwriting gaps, and ensure compliance with client needs.Review policy terms, add-on covers, and endorsements to recommend enhancements and ensure comprehensive risk protection.Evaluated policy terms, conditions, exclusions, add-on covers, and endorsements to identify coverage gaps and recommend appropriate enhancements.Prepared professional, client-facing policy summaries and risk notes, highlighting key features, uncovered risks, and value-added recommendations to support informed insurance decisions.
EDUCATION
Krishna veni jr college
Mpc
Institute of Insurance and Risk Management
Postgraduate Degree
Aurora Degree College
Bachelor of Business Administration - BBA
ABOUT JAGADISH VEMULA
As a PGDM student specializing in Insurance and Analytics, I bring a unique blend of analytical thinking, strategic insight, and a deep understanding of the evolving insurance landscape. My academic journey has honed my problem-solving abilities, strengthened my resilience, and instilled a high degree of adaptability skills that empower me to thrive in fast-paced, data-driven environments. I’m passionate about transforming complex data into meaningful business insights, especially in areas where insurance meets innovation. Whether it\'s analyzing claims patterns, optimizing policy pricing, or exploring emerging technologies like AI and InsurTech, I’m always eager to bridge the gap between traditional insurance models and modern analytics. Curious by nature and driven by impact, I actively seek real-world challenges where I can contribute to smarter decision-making and customer-centric solutions. Let’s connect if you’re exploring the future of insurance through data! Predictly: https://predictly-mknme3uuwklkyqvr4lwecq.streamlit.app/
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