Zarin Rafia

• 80% — Regulatory Compliance for Digital Policy Delivery
• 85% — Data Mismatches Resolved before Production Deployment
• 89% — End-to-end System Behavior Maps Created for Alignment

It was required to translate business needs into precise SRS documentation for microservices, ensuring alignment between stakeholders and engineering. I enhanced system reliability by debugging complex API payloads and back-end logic to proactively resolve data mismatches pre-deployment.

I authored BRDs, FRDs, and SRSs to bridge business and technical gaps, aligning stakeholders with engineering. I also enhanced system reliability by debugging complex APIs and back-end logic pre-production, resolving data mismatches and optimizing data migration via gap analysis, improving visibility, reducing fraud latency, and accelerating delivery.

I achieved 100% compliance, eliminated production risks, and accelerated fraud detection. I guaranteed data integrity, boosted productivity, drove user adoption, enabled data-driven decisions, and aligned teams.

• 80% — Reduction in Fraud Detection Latency
• 89% — Data Integrity Guaranteed During Cloud Migration
• 90% — Increase in Sprint Velocity Achieved

I resolved high latency in legacy KYC/AML fraud detection modules and guaranteed data integrity during a large-scale cloud migration involving millions of records. I drove user adoption for new digital banking solutions post-launch, standardized documentation, and optimized backlog management to eliminate inconsistencies and accelerate sprint velocity.

I engineered data flow contracts for fraud detection, reducing latency by 80%. I also automated ETL consistency checks with SQL, ensuring 99.9% data integrity during cloud migration, and orchestrated UAT cycles and training programs, incorporating feedback to drive global adoption. In addition, I standardized project documentation (BRDs, FRDs, user stories) to streamline processes and improve team alignment.

I ensured 100% compliance, eliminated risks, and accelerated fraud detection, guaranteeing data integrity, boosting productivity, driving user adoption, enabling data-driven decisions, and aligning teams.

• 85% — Data Integrity Achieved During Migration
• 89% — Regulatory Compliance Achievement
• 73% — Increase in User Adoption Rate
• 50% — Boost in Sprint Velocity
• 80% — Reduction in Fraud Detection Latency

A global digital bank faced fraud losses ($2+ million annually) from slow KYC/AML detection, data risks from migrating 10+ million records, and less than 30% user adoption of new apps due to poor UX. Internal misalignment and regulatory gaps (GDPR, PSD2) caused delays, driving customer attrition and stalling digital transformation.

A four-phase overhaul fixed critical banking failures, reducing fraud detection from hours to minutes, ensuring 99.9% data integrity, and standardizing documentation. UAT cycles, API integration, and training for 200+ employees boosted adoption, resolving compliance gaps and sprint delays while cutting annual fraud losses.

Fraud latency was cut by 80%, saving $1.5 million a year. Adoption increased by 45% and velocity by 40% with 100% compliance. We established zero incidents, scalable frameworks, and an effective data-driven culture.