Bengaluru, Karnataka, India
Most insurance data analysts can tell you what happened. I build the systems that tell you why — and flag it before it costs the business. Over 9 years across Tata AIG, HDFC ERGO, GoDigit, and now EXL, I've worked at the intersection of insurance operations and data — not in silos. That means I understand a fraud trigger not just as a data rule, but as a claims workflow problem, a regulatory exposure, and a product design decision all at once. At GoDigit, I led regulatory reporting automation for Motor, Health, and P&C lines — achieving sub-1% data quality error rates across submissions to IRDAI and IIB. I also supported actuarial product rollouts through cross-functional data pipelines, cutting data errors by 98% through forecasting and structured stakeholder management. At EXL, I currently work on a global fraud detection project — analysing claims patterns across geographies to surface anomalies that aren't obvious in the raw data. What makes me different from a standard business analyst: I came up through claims operations. I've handled escalations, managed surveyors, and settled total loss cases. That ground-level exposure is why my models get adopted — I build for people who actually work claims, not just for dashboards. Tools: SQL · Python · Power BI · Tableau · Snowflake · IBM Cognos · JIRA · Guidewire (PolicyCenter / ClaimsCenter) Open to roles in insurance analytics, fraud intelligence, and data strategy. Reach me at [email protected].
Designing data models that surface high-risk claim patterns, enabling faster investigation prioritisation by claims teams Collaborating with international stakeholders to align fraud triggers with regional regulatory and operational requirements
Leading fraud detection analytics across global claims portfolios, identifying cross-geography anomalies to reduce financial leakage Collaborating with international stakeholders to align fraud triggers with regional regulatory and operational requirements
Engaged as a Business Data Analyst through Oncorre Inc (vendor partner to EXL Service), embedded within EXL's insurance analytics delivery team supporting AIG's global claims operations. All day-to-day work, deliverables, and stakeholder interactions operated within EXL's project environment.
Automated regulatory reporting for Motor, Health, and P&C lines submitted to IRDAI and IIB — achieving sub-1% data quality error rates across all submissions Cut data errors by 98% on actuarial product rollout pipelines through structured forecasting models and cross-functional data governance Built and maintained fraud detection and fraud engine automation workflows, reducing manual intervention in high-volume claim processing Delivered strategy formulation analytics across multiple distribution channels and LOBs (Motor, Health, Commercial), directly supporting OKR tracking for senior leadership
Identified risk patterns through audit analysis, contributing to a 22% YoY improvement in customer engagement metrics for targeted product lines Implemented KYC, AML, and fraud trigger frameworks — elevating process transparency and reducing compliance exposure Managed stakeholder expectations across analytics and operations teams, using JIRA and Scrum to track sprint delivery on data pipeline projects Delivered data processing and transformation workflows supporting multi-LOB reporting (Motor, Health, Commercial)
Nominated for Employee of the Year within 18 months at a unicorn insurtech — one of the fastest recognitions in the team Maintained sub-1% escalation rate while managing a high-volume claims portfolio spanning two-wheelers to heavy commercial vehicles Led a team of associate analysts across claims handling, agent interactions, and final settlement delivery Conducted nationwide trend analysis on commercial vehicle claims, fabrication patterns, and underwriting risk — outputs used in strategic decision-making
Reduced customer grievance rate from 12% to 3% across MP and CG regions through structured follow-up processes and escalation management Managed non-repair and accidental loss claims for motor segment, coordinating with IRDAI-approved freelance surveyors for faster settlements Maintained high dealer and workshop service standards while balancing independent case resolution and team-based problem-solving
Served as technical lead for OD, Theft, Transit, and Flood claims — approving technical assessments for complex loss scenarios Evaluated fraud indicators in motor OD claims, identifying fabrication patterns across Total Loss, Cash Loss, and Net of Salvage cases Initiated cashless tie-ups with dealers and streamlined payment processes, reducing turnaround time for high-frequency claim types Trained junior analysts on technical and non-technical claims processing, building team capability in loss assessment standards