Anmol Maheshwari
Business Analyst | Driving Business Insights & Operational Efficiency
- Role
- Business Analyst at AIG
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Anmol Maheshwari
Strategic Business Analyst with almost 4 years of experience driving digital…
Experience
Business Analyst
Jan 2024 — Present · US
Automated Claims Data Analysis: Reduced manual processing time by 40% using Python (Pandas, NumPy) and Snowflake, enhancing data accuracy and operational efficiency. Justified automation efforts through a cost-benefit analysis, demonstrating a 200% ROI. • Fraud Detection Model & Risk Modeling: Developed by leveraging SQL/ Python and Alteryx for data blending, integrating with Guidewire. Identified 20% more fraudulent claims, improved underwriting risk management saving $1.2M annually through anomaly detection and predictive analytics. Validated results through 100+ test cases to ensure accuracy. • Financial Analytics Dashboard: Integrated SAP S/4 HANA data with Tableau dashboards using API-driven automation, visualizing policyholder growth, claims ratios and risk trends. Informed strategic decisions through SWOT analysis for financial forecasting. • VBA-Powered Claims Processing Automation: Engineered a VBA-based financial modeling tool, automating claims cost forecasting and reducing processing errors by 30%, thereby improving budgeting, cost control and operational accuracy. • Agile Governance: Spearheaded cross-functional collaboration between underwriters, actuaries, IT and UI/UX teams to refine data governance frameworks and Figma prototypes, ensured compliance with regulatory standards boosting project delivery speed by 15%. Managed Azure DevOps workflows and maintained a Requirements Traceability Matrix (RTM) to prioritize user stories, track development tasks, and accelerate project delivery. • UAT Leadership & Defect Reduction: Led User Acceptance Testing (UAT) for claims automation tools, validating workflows against FRD use cases and reducing post-deployment defects by 25% through rigorous testing and stakeholder feedback.
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