Sergey Feldman has been working with data and designing machine learning algorithms since 2007. He's done both academic and real-world data wrangling, and loves to learn about new domains in order to build the perfect solution for the problem at hand. Sergey has a PhD in machine learning from the University of Washington, and is also an expert in natural language processing, statistics, and signal processing.
Sergey is based in Seattle.
Ilya Barshai has been tackling machine learning and data science problems with Data Cowboys for over three years, and worked in risk and failure analysis of electromechanical product designs for 8 years prior. He has built deep natural language processing systems, recommendation engines and a variety of predictive and explanatory models in all sorts of domains. Ilya has a B.S. in electrical engineering from the University of Illinois at Chicago with a focus in control theory and signal processing, and has completed the Johns Hopkins Data Science specialization program.
Ilya is based in Chicago.