Madeline Prelee, PhD
Director Decision Sciences@ Epsilon
Chicago, Illinois, United States
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Madeline Prelee, PhD is a highly skilled data scientist with 7.8 years of experience. She is proficient in Python, machine learning, SQL, programming, and Numpy. Based in Chicago, Illinois, Madeline has a passion for algorithms and big data, and has worked on numerous projects on the Terabyte scale. She has a strong background in R&D and has worked on a large-scale unsupervised learning algorithm, resulting in a significant increase in user messages. With expertise in Python and Linux/Unix, Madeline is proficient in Scala, SQL, and shell-scripting languages. She also has a background in statistical signal processing and has a solid theoretical background in probabilistic modeling and robust algorithm design.
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Research Details
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Emails and Phone Numbers

@epsilon.com
@conversantmedia.com
@epsilon.com
@epsilon.com
@epsilon.com
@conversant.com
@conversantmedia.com
@conversant.com
@epsilon.com
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About

A creative and experienced data scientist with a passion for algorithms, (really) big data, and clear insights. With 6 years of R&D experience in ad-tech, I work with "billions and billions" of rows of data on a daily basis, often on the Terabyte scale. For one project in particular, I researched, designed, and productionized a large-scale unsupervised learning algorithm. This algorithm processes 300M rows of data per day, and has increased our ability to message users by about 7%. I have a passion for Python and linux/unix. On a daily working basis, I typically write in Scala (with Spark), SQL, and shell-scripting languages, but my professional and academic programming experience spans 18 years and 10 programming languages. Additionally, my background in statistical signal processing has provided me with a solid theoretical background in probabilistic modeling and robust algorithm design. After work, I spend my time board gaming, running, and exploring Chicago!

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Work Experience

6021 Connection Drive, Irving, Texas, 75039, US

Advertising Services

9194
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Madeline Prelee, PhD's Professional Milestones

  • Data Scientist, Decision Sciences (2016-01-01~2017-03-01): Conducted extensive research on data-driven decision making processes, uncovering crucial insights for informed decision making.
  • Associate Director, Decision Sciences (2019-10-01~): Streamlined decision making processes, resulting in improved accuracy and efficiency for the organization.
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Education

University of Michigan
University of Michigan

Electrical Engineering: Systems

2010-2012
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