I'm a data scientist and photographer based in New York City.
I established the machine learning practice from the ground up at Radicle, a disruption research company incubated by Prehype in partnership with Dow Jones that serves some of the world’s largest corporations, including P&G, Diageo, Estée Lauder, and more.
I conceptualized, designed, and built the scoring algorithms and natural language systems that power Radicle's startup research and innovation discovery products. An example is Startup Anomaly Detection™, a state of the art algorithm which estimates the plausibility that a startup will have a liquidity event such as an IPO or acquisition. Another is the Investor Cluster Score™, which evaluates the signal generated from company capitalization tables.
My work has been cited or popularly shared by hundreds of startup accelerators, entrepreneurs, and investors, including Ryan Hoover, Alexis Ohanian, and Ryan Caldbeck, and by senior leadership at places like Kleiner Perkins, Silicon Valley Bank, and Deutsche Telekom—in the process redefining how entrepreneurs around the world assess their cash runway, think about startup failure rates, and use empirical data to estimate startup valuations.
I publish my research via the Journal of Empirical Entrepreneurship, a new outlet for data-driven insights on startups and venture capital, where I serve as Editor-in-Chief.
Don't hesitate to reach out if you'd like to say hello.
- Sebastian Quintero