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Nicholas leads the development of Funderbeam's data intelligence platform. Through a combination of strategic partnerships, data mining, and statistical analysis— Funderbeam uses a variety of machine learning techniques to estimate startup valuations, predict funding trends, derive competitive landscapes, and classify startups by industry. Nicholas began his career as an analyst striving to improve predictive algorithms and rapidly unearthed a passion for machine learning and data science. Now, along with a team of dedicated developers and analysts, he’s focused on utilizing a massive amount of startup data to help investors drive their investment decisions.