• Validated ad effectiveness by analyzing campaign flight times using Python and Facebook's Ad Library, driving key product and marketing insights.

• Automated workflows for marketers by building new features with Next.js, Prisma, and Postgres, improving efficiency and reducing manual effort.

• Improved application performance 10x by introducing pagination, asynchronous processing, and client-side caching; managed end-to-end deployments and production debugging.

• NYC Roosevelt Island Cornell Tech Campus

• Student Ambassador

• Merit Scholarship Recipient

• Co-President of the Cybersecurity Club

• Relevant Coursework: Data Science in the Wild, Machine Learning Engineering, Applied Machine Learning, Applied Data Science, Security and Privacy in the Wild, Algorithms.

• Directed thermal diagnostics for the IBM z15 Themis and z16 Artemis systems, influencing production operations globally, including in Japan, Australia, Germany, Texas, South Africa, and Brazil.

• Implemented advanced data analysis techniques in production, leading to significant fault detection and prevention worldwide.

• Integral in updating production firmware and hardware in new IBM shipments through detailed Failure Analysis.

• Enhanced reporting and maintenance protocols for multiple generations of IBM production products.