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Melody Dye is an accomplished Senior Machine Learning Scientist at Netflix, specializing in Content & Audience Understanding, Creative Excellence, and Content Demand Forecasting. Prior to this role, Melody served as a Data Science Fellow at Insight Data Science and held the position of Moore/Sloan Postdoctoral Data Science Fellow at the University of California, Berkeley. Additionally, Melody has experience as a lecturer in Natural Language Processing with Deep Learning at the same institution, demonstrating a strong academic background and a commitment to advancing the field of data science and machine learning.