Graph Exploitation To Enhance The Entity Resolution

Leveraged graph structures to enhance accuracy of entity resolution for detecting money laundering and compliance violations. Cooperated closely with Financial Crime and Compliance Task Force, PGX and business teams to enhance entity resolution (ER) systems. Developed and optimized ER engine using multithreading and cluster computing techniques; proposed methods for enhancing ER scoring system using rule-based algorithms and machine learning approaches.

Technologies Used: Python, Java, Oracle Labs Data Studio, Record Linkage Library, Oracle PGX, Oracle PGQL, Jira, Confluence, Bitbucket, Google Geocide API