Diya Salloum, Vice President of Fraud Risk at JPMorgan Chase
Abstract: In today's fast-paced business environment, ad-hoc analysis has become indispensable for organizations to make informed decisions swiftly. However, the spontaneity of these analyses can sometimes compromise their accuracy and efficiency. This presentation delves into the best big data analytical practices that ensure precision and save crucial time. We'll explore strategies like structured problem framing, leveraging templated workflows, and utilizing automated data validation tools. Additionally, the importance of fostering a culture of knowledge sharing and continuous learning will be highlighted, emphasizing the role of peer reviews and feedback loops. By integrating these best practices, analysts can confidently produce rapid yet robust insights, driving agile decision-making processes in any organization.
Biography: Diya Salloum is serving as the Vice President of Fraud Risk at JPMorgan Chase. Mr. Diya's current role focuses on combating digital fraud by analyzing fraud trends and designing innovative measures to protect customers. His deep understanding of big data, analytics, and the financial sector allows him to proactively address risks and ensure the security of customers and financial systems. Prior to that, Mr. Diya held a position as a Senior Business Analyst at Amazon Web Services (AWS)