I'm a versatile data analyst with 6+ years at Amazon, working at the intersection of marketplace integrity, AI model improvement, and seller risk investigation. Currently, I'm part of Amazon's Risk Mining charter, where I identify and action bad actors on the US marketplace — analyzing seller behavior, detecting policy violations, and enforcing actions that keep Amazon Customer Counterfeit Risk (CCR) free. My work protects both customers and legitimate sellers before harm occurs. Previously, I served as a Human-in-the-Loop (HITL) Analyst, manually tagging customer issues across three ML categories — Expired Products, Wrong Item Sent, and Damaged Items — to generate ground-truth data that directly improved model precision and recall. I collaborated regularly with US-based science teams to surface edge cases and reduce false negatives in automated detection systems.
I'm a versatile data analyst with 6+ years at Amazon, working at the intersection of marketplace integrity, AI model improvement, and seller risk investigation. Currently, I'm part of Amazon's Risk Mining charter, where I identify and action bad actors on the US marketplace — analyzing seller behavior, detecting policy violations, and enforcing actions that keep Amazon Customer Counterfeit Risk (CCR) free. My work protects both customers and legitimate sellers before harm occurs. Previously, I served as a Human-in-the-Loop (HITL) Analyst, manually tagging customer issues across three ML categories — Expired Products, Wrong Item Sent, and Damaged Items — to generate ground-truth data that directly improved model precision and recall. I collaborated regularly with US-based science teams to surface edge cases and reduce false negatives in automated detection systems.
Member Since
April 5, 2026
Last Active
3 months ago
