Madeline Prelee, PhD, is the Director of Decision Sciences at Epsilon, where they utilize their extensive experience in data science to handle large-scale datasets. They have over four years of R&D experience in ad-tech and have successfully developed a large-scale unsupervised learning algorithm that processes 300 million rows of data daily, enhancing user messaging efficiency by 7%. With a PhD in Electrical Engineering from the University of Michigan, Madeline is proficient in multiple programming languages and has a strong foundation in probabilistic modeling. Outside of work, they enjoy board gaming, running, and exploring Chicago.
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