At QuillBot, I designed and optimized fraud prevention strategies using behavioural analytics, transaction intelligence, and customer risk profiling. My work delivered approximately $200K in annual savings by optimizing fraud controls and reducing refund and dispute rates.
I also increased the dispute win rate by 53% for Scribbr and LanguageTool across EU markets, while maintaining an overall 68% chargeback win rate through strategic representment and evidence optimization. I built fraud analytics dashboards in Amplitude and Power BI to help leadership monitor performance and make data-driven decisions.
At Amazon, I analyzed customer transactions and used SQL to uncover fraud signals and root causes, contributing to a 15% reduction in fraud loss exposure. I developed risk dashboards using Amazon QuickSight and partnered with Product, Engineering, Legal, and Compliance teams on fraud controls and risk processes.
Earlier at Amazon, I investigated account takeover, reseller abuse, and payment fraud, and conducted AML investigations, transaction monitoring, and KYC reviews. I also supported SAR-related workflows through case documentation, evidence gathering, and escalation of suspicious activity.
