Aamer combines his strong mathematical, computer science and database background with a solid tax foundation to develop and refine not only the standard reports, but also province, industry and client-specific queries for the purpose of making the recovery process as efficient and accurate as possible.

He uses extensive pattern matching algorithms to find duplicate payments and is constantly refining algorithms to discover new and more effective ways to identify GST and PST recoveries to perform a full and complete AP review.

Aamer has experience working with data from all major Enterprise-Resource Planning and Database systems including SAP, PeopleSoft, Oracle Financials, JD Edwards, Great Plains, Business Vision as well as a variety of other financial systems.

Aamer has worked on clients in a variety of industries including: retailers, distributors, manufacturers, natural resources, automotive and financial services.

Education

• Bachelor of Mathematics, Major in Honours Computer Science and Minor in Combinatorics and Optimization
• University of Waterloo