Gaurav Mathur

Designed a data quality framework that eliminated 100+ critical HR dataset defects pre-launch and enabled zero post–go-live production incidents during a Workday → SAP SuccessFactors migration. Validated payroll integrity across US, UK, and Canada using SQL profiling and delivered reconciliation reports and readiness metrics to HR delivery and architecture teams.

Achieved zero post-deployment defects for a SAS-based credit risk calculation engine by performing root-cause analysis, unit testing, and PIV across 30+ business issues. Improved model accuracy and rule reliability by updating SAS DI jobs and resolving production data quality gaps.

Won enterprise data science engagements by architecting ML, BI, and analytics solutions across cloud and on-premise platforms. Improved proposal margins with effort estimation and commercial models, and presented solution blueprints directly to C-suite stakeholders.

Built UIO retention analytics using clustering and opportunity scoring across CRM, connected car telemetry, and insurance claims datasets. Enabled targeted service retention outreach by engineering multi-source features after profiling quality gaps, grain differences, and coverage.

Delivered BCBS239 regulatory compliance by designing a data quality scoring framework that profiled missing values, inconsistencies, and grain gaps across the Credit Retail Data Mart. Reduced reporting risk with dataset health scores and remediation roadmaps, and ensured output accuracy during a Hadoop migration through end-to-end reconciliation and sign-off.

Built a statistical anomaly detection model to reduce fraud losses and false positives by identifying outlier movements in transaction volume and merchant behavior. Scaled the approach to multiple international markets with a CPP-based fraud identification tool and improved team efficiency by ~30% by automating CPP workflows and implementing performance scorecards.

Delivered acquisition and portfolio analytics for Citibank North America, including segmentation models, credit line strategy, and line management policies to improve risk-adjusted returns. Led line-level analytics to support credit decisioning and risk management outcomes.

Reduced EMOB fraud exposure by building fraud detection strategies using decision trees and statistical segmentation across newly booked accounts. Owned the Data Compromise Management process to strengthen fraud controls and was recognized with the Extra Miler Award (2009) for fraud strategy analytics and cross-functional delivery.

Engineered a named entity resolution system using fuzzy matching and confidence scoring to standardize card member and passenger names for an airline booking use case, enabling company-wide methodology adoption. Reduced point-of-sale fraud losses with real-time anomaly detection rules and improved new-account risk identification through first-payment-default strategies, supported by MI dashboards

Completed an Advanced Diploma in Computer Science (G-NIIT) at NIIT, New Delhi, from 1998 to 2002.

Completed a Bachelor of Commerce (B.Com) at the University of Delhi, North Campus from 1998 to 2001.

Earned a Microsoft certification for Implementing & Supporting Windows NT Server 4.0 in 1998.