BNYSWE Intern
May. 2024 - Jul. 2024Pune, Maharashtra, IndiaAutomated anomaly detection in distributed data pipelines by developing a shell script framework with Hive and SQL checks, reducing manual verification and enabling email alerts for 20%+ and seasonality-based discrepancies. Migrated Angular frontend (v14 to v16) and Java backend services (v11 to v21), resolving legacy CSS issues and updating tests to achieve 75%+ code coverage, which improved system maintainability and reduced security vulnerabilities. Enhanced data reliability and business analytics by implementing dual-metric validation (recent 5-day and weekday seasonality thresholds) and automating developer notifications, ensuring timely identification of critical production issues.