Aman Bedi

• Write rules using MVFLEX Expression Language (MVEL) to flag fraudulent transactions reported by investigators.
• Work on projects that design/ improve tools or processes by testing and/or develop recommendations for management.
• Provide support as and when required for deep dives , mentoring new batches, Kaizens, escalations and cross training.
• Provide inputs to improve the quality for new batch hires and existing team.

• Detect and report fraudulent Modus Operandi(MOs) at the earliest, which constitute a serious business threat to Amazon and its customers.
• Deploy a set of tools to extract and analyze data related to the identified fraud pattern, and gauge its financial impact.
• Create a rule logic which helps explain such fraudulent transactions to build a risk model, which identifies and addresses anticipated fraud transactions.
• Use SQL to fetch relevant data around similar fraud transactions to analyze the MO, and building a rule logic to tackle it.
• Run various iterations to capture the MO at the earliest, using scores of variables and SQL constraints.
• Investigate various fraud detection reports, designed to report an MO in its initial stages.
• Handle workflow management to ensure that delegated tasks meet SLAs(Service Level Agreement).
• Engage in multiple process development projects over the period to streamline and enhance process efficiency.

• Detect, analyze and mitigate fraudulent transactions on Amazon with high level precision and inference.
• Utilize the Work Backward strategy to optimize decision making.
• Maintain Service Level Agreement for optimum customer experience.
• Retain a customer-centric approach in decision making to provide the best quality, value and service.
• Communicate with relevant stakeholders to brief about any major changes in operating protocol and business policies.

• 'Summit Award for Individual Contribution-2016' by TRMS Leadership.
• 'PERFECTIONIST' award four times in a row for being on top of the stack.
• 'Think Outside The Box' for suggesting and implementing rule logic to target fraudulent activity in a cross functional process.
• 'Circle of Excellence' for driving innovation and procress improvement projects.
• 'Quality Pundit' award for achieving top quality in process metrics.

Received Dr. G.V.L Narsimham Memorial Gold Medal for best outgoing student in Mathematics.

Stood 2nd in Annual Ramanujan Mathematics Olympiad-2012 at State level.

Using programming languages like Java, Javascript and the concept of bookmarklets, I have been working on various tool development projects during the period. I have created over 10 process oriented tools introducing new functionalites to help streamline the business and ease data gathering in MO detection. These tools have been globally recognized and implemented by all relevant stakeholders.

Using R programming language, I have worked on a rule proliferation project aimed at introducing a generic fraud prevention model to accommodate a higher number of fraudulent transactions. Created a generic model which addressed a large amount of fraud activity as a replacement for multiple rule sets.