Heading

FinTech Solution

  • Year

    2026

  • Type of Project

    Team Project

  • My Role

    Machine Learning

Case Study

Objective

The goal was to quantify revenue leakage from misapplied discounts and pricing errors, determine root causes and prescribe operational and technical controls to prevent recurrence. Methodology combined SQL extracts, Python-based validation and manual audit sampling.

Process

Built a rule‑based, serverless transaction monitoring and real‑time fraud detection engine using AWS SAM (API Gateway, SQS, Lambda, DynamoDB, SNS) and Next.js on the AWS Free Tier. The system enables secure, scalable and automated fraud evaluation across live transactions.

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