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    Deepna Devkar, Ph.D.

    SVP, Machine Learning and AI - Global Streaming

    Deepna Devkar, Ph.D., is a highly accomplished professional with a diverse educational background. She holds a Chief Data Officer certification from Carnegie Mellon University and a Ph.D. in Computational Neuroscience from The University of Texas Health Science Center at Houston (UTHealth Houston). Additionally, she earned a Master's degree in Psychology from The University of Texas at San Antonio and a Bachelor of Science in Psychology from Baylor University.

    In terms of professional experience, Deepna has held prominent roles in various organizations. She served as the Former Senior Vice President of ML Engineering and AI at Warner Bros. Discovery, where she played a key role in global streaming initiatives. She was also a Founding Member at Chief and held leadership positions such as Group Vice President of Engineering for Content Discovery at Warner Bros. Discovery, Vice President of Machine Learning and Data Platform Engineering at CNN, Vice President and Head of Data Science at Dotdash, and Technical Advisor at Insight Data Science.

    Furthermore, Deepna's career includes roles such as Senior Director of Data Science, Director of Data Science, and Data Scientist focusing on Asset Optimization & Audience Research at Viacom. She also has experience as a Data Science Fellow at Insight Data Science and as a Postdoctoral Fellow at New York University. With her extensive background in data science, engineering, and AI, Deepna Devkar is a seasoned professional with a proven track record of success and innovation.

    Deepna Devkar, Ph.D.
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    Location

    New York, New York, United States