Summary
Amber Garner is a Senior Data Scientist with nine years of experience applying machine learning, text mining, and large-scale analytics across retail and data services. Currently at Acxiom after a string of senior analytics leadership roles at Walmart, she specializes in turning complex assortment and merchandising problems into automated, production-ready solutions using R, Python, SQL, Tableau, Hadoop, and AWS. She holds a 4.0 master's in Data Analytics and combines rigorous academic grounding with hands-on engineering to bridge business strategy and data-driven execution. Known for building scalable analytics workflows, she brings both managerial experience and individual contributor depth—equally comfortable leading cross-functional teams or prototyping models herself. Her public portfolio and GitHub reflect a practical, product-focused approach to data science rather than purely theoretical work.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Data Analytic, 4.0, Master’s Degree, Data Analytic, 4.0 at University of Maryland University College
Data Science, Data Science at Coursera
Bachelor’s Degree, Business Administration, 3.6 GPA, Bachelor’s Degree, Business Administration, 3.6 GPA at Arkansas State University
Spanish, English