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Deniz Zorlu
Machine Learning
Deniz Zorlu is a highly accomplished research scientist and machine learning engineer with a strong focus on product-driven initiatives. With a Master's Degree in Economics from Brandeis University, Deniz has a solid educational background that complements his professional expertise.
With extensive experience in various prestigious organizations, Deniz has held key roles that include Member of Technical Staff at Contextual AI, Director of Engineering - Machine Learning at Rad AI, Head of Machine Learning at Speak, Research Scientist at Medium, Machine Learning Engineer at Clarity Money and Mona (Techstars NYC '15), Data Scientist at Custora, Instructor for Data Science at General Assemb.ly, Data Scientist at The SumAll Foundation, and Quantitative Developer at Pharo Management.
Deniz Zorlu is known for his proactive and hands-on approach to driving applied research projects from the initial idea phase through to implementation and production. He is action-oriented and possesses a strong perseverance that fuels his success in the field.