Esther Ezekiel
Audience Measurement Lead at The Home Depot
Atlanta, Georgia, United States
Summary
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Senior🎓
Top SchoolEsther Ezekiel is an audience measurement and machine learning professional with eight years of experience turning large-scale web and marketing data into strategic decisions at The Home Depot and prior media organizations. She blends applied ML and predictive analytics with hands-on cloud engineering on Google Cloud (Vertex AI, BigQuery) to measure media incrementality, build forecasting models, and optimize audience-based marketing. Esther has a strong analytics toolkit—Adobe Analytics, Tableau/Data Studio dashboards, and JupyterLab—and a track record automating reporting workflows to free up analyst time for higher-impact work. Her background in applied statistics and continual upskilling in ML/AI enables her to translate complex models into management-ready insights that influence campaign strategy and channel allocation. Based in Atlanta, she uniquely pairs quantitative rigor with practical media activation experience, making her adept at both measurement methodology and cross-functional execution.
8 years of coding experience
5 years of employment as a software developer
Certificate Neural Networks and Deep Learning, Certificate Neural Networks and Deep Learning at CourseraData Science Nanodegree , Data Science Nanodegree at UdacityMaster of Science - MS Applied Statistics, Master of Science - MS Applied Statistics at Kennesaw State UniversityMachine Learning Engineering Artificial Intelligence, Machine Learning Engineering Artificial Intelligence at WeCloudDataCertificate Big Data & Data Analytics, Certificate Big Data & Data Analytics at Emory University Continuing EducationGithub contributions (5)
estherio555/Coursera-ML-with-Python-IBM-
Oct 2017 - Jul 2019
Contributions:13 commits, 2 PRs, 11 pushes in 1 year 8 months
estherio555/WCD_MLE
Jun 2023 - Jul 2023
Contributions:28 pushes, 1 branch in 4 days
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