Bank of New York Mellon (BNY)
|Software Development Intern
Highlights
Improved reconciliation accuracy by 40% with Python algorithms to identify patterns in transaction matches
Enhanced algorithm performance by 30% by adding user requests with Pandas and NumPy for reconciliation
Automated data collection from Oracle database by building backend in Java Spring Boot to schedule 3 tasks
Utilized JDBC to store data in SQL tables supporting record analysis of over 15 million records
Created Power BI dashboards to identify trends in the data, optimizing engine load for daily transactions