Rahul Rathore

Senior Associate Consultant @Infosys

Swindon, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2019 — Present

Senior Associate Consultant @Infosys

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Swindon, GB

Passionate about leveraging technology to combat fraud and protect businesses, I am an experienced Full Stack Developer specializing in.NET, React Js.NET Core 3.1, MVC, Web API, SQL, and Entity Framework Core. With a strong background in developing fraud prevention solutions, I am dedicated to ensuring the security and integrity of business operations on a nationwide scale.\\\\n\\\\nKey Skills and Highlights:\\\\n\\\\nExpertise in designing and developing robust and scalable applications using.NET, React.js.NET Core 3.1, MVC, Web API, SQL, and Entity Framework Core.\\\\nStrong understanding of fraud prevention methodologies, including pattern detection, anomaly identification, and risk assessment.\\\\nProficient in utilizing various fraud prevention tools and techniques to implement comprehensive security measures.\\\\nProven track record of successfully delivering fraud prevention solutions within strict timelines and budgetary constraints.\\\\nExperienced in optimizing performance and enhancing user experience through efficient coding practices and responsive design principles.\\\\nSolid understanding of software development lifecycle (SDLC) and Agile methodologies, ensuring efficient project execution and delivery.\\\\nSkilled in collaborating with cross-functional teams, including business analysts, quality assurance, and stakeholders, to gather requirements and deliver solutions that align with business objectives.\\\\nfostering collaborative working relationships.\\\\nIf you are seeking a dedicated and results-driven Full Stack Developer with a focus on nationwide fraud prevention, let\'s connect and explore how I can contribute to your organization\'s success.\\\\n\\\\nAnti Money Laundering: The system implemented risk assessment models to assign risk scores to customers, accounts, and transactions. These scores helped prioritize investigation efforts based on the level of suspicion, enabling more efficient allocation of resources.\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n

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Rahul Rathore — Senior Associate Consultant at Infosys in Swindon, GB | Unifers