I'm Vicky — a data analyst in New York with a mathematics degree from NYU Courant. I build fraud detection systems, on-chain intelligence agents, and analytics dashboards. My work sits where raw blockchain data has to become something a risk team, a trading desk, or a compliance analyst can actually act on: validated models, clean pipelines, honest metrics.
I trained in mathematics at NYU's Courant Institute, and the habit stuck: before I trust a number, I want to know how it was made. That's why my fraud models use strict time-based splits, my probability models get calibrated, and my dashboards query chain data at the source. Whether the question comes from a risk team or a protocol, the job is the same — separate signal from noise, and show your work. I currently work as a data analyst at a New York nonprofit while building in web3.