fixing exception
Optimized a high-volume exception monitoring workflow by replacing repetitive manual reviews with an automated comparative analysis tool. I engineered a lookup logic that benchmarks today’s data against previous records to isolate only new or anomalous entries for investigation. This shift from a full manual refresh to a targeted review model slashed daily processing time from 30 minutes to just 3 minutes, delivering a 90% gain in operational efficiency while maintaining rigorous data integrity.
US Inflation
I engineered a VBA-driven automation for the US Inflation data pipeline that replaces manual processing with a seamless, end-to-end automated workflow. The solution features an intelligent logic to automatically detect and adjust for irregular mid-month curve rolls, effectively eliminating operational risks and ensuring continuous data integrity for our downstream systems.
Sophis Validation
I developed an end-to-end Dividend Validation framework to remediate data inconsistencies within Sophis, utilizing VPI tools for seamless Excel integration. The solution addressed complex multi-field discrepancies through advanced data decomposition and incorporated a secondary validation layer via Postman to ensure high-fidelity uploads. Although the technical infrastructure was successfully completed, the batch-update module remains a pilot reference to align with the bank’s conservative risk appetite for direct system modifications.
Daily Recon & Approval Suite
I engineered a centralized Recon and Approval engine to automate daily capital markets reporting workflows. The system performs a multi-vector cross-check to validate date-sensitive content and personalized signatures, effectively eliminating manual clerical errors and ensuring institutional consistency in high-frequency communications.