shanna duffy

I’m a data analyst with 4 years of experience across analytics, technical investigations, and trust & safety, focused on detecting abuse and driving data-informed risk mitigation. I bring a practical investigative mindset—turning messy signals into actionable insights, clear documentation, and measurable outcomes.

At Uber, I’ve run reporting to analyze fraudulent merchants, triaged customer accounts to mitigate account takeovers and application fraud, and monitored new customer activity with high-spending patterns in short time windows. I use OSINT tools to identify emerging fraud trends and techniques, which helps the team respond faster and more precisely to evolving threats.

I’ve also led investigations into ID theft and fake earner accounts, while triaging hundreds of reports involving human trafficking. I wrote and ran SQL queries to retrieve investigative data, produced referrals for law enforcement agencies including the FBI and the Department of Homeland Security, and collaborated with investigators to command operations to mitigate complex crime schemes—recovering millions of dollars from fraudulent merchant accounts.

Before my investigative career, I built strong operational and people skills as a bartender and account manager, training new hires and coordinating high-profile events while managing purchasing and invoicing in QuickBooks. With a Master of Science in Cybersecurity and a Bachelor of Science in Cybersecurity, I’m equally comfortable with analytical rigor and the communication required to work effectively across teams.