Performed data analysis for a client to recover over $700K of erroneous shipping charges made over several years by isolating a small percentage of records out of thousands of data records, then reviewing individual source documents to highlight specific international carrier invoices that were not reimbursed to the client.

Assisted the fraud department of a large medical insurance company by analyzing large datasets of Medicare Part B claims for anomalies based on medical codes, patients statistics, geographical area, the amount of claims submitted and other criteria.

Reviewed large datasets to determine trends in revenue, expenses and to isolate errors in general ledger transaction postings.