Samantha Sloan
About Samantha Sloan
Samantha Sloan is a Data Engineer with a strong background in applied statistics and expertise in Docker and Kubernetes. She has worked for several organizations, including Peloton Interactive and Indiana Family and Social Services Administration, and currently holds a position at eimagine in Indianapolis, Indiana.
Work at eimagine
Samantha Sloan has been employed at eimagine as a Data Engineer since 2022. In this role, she applies her expertise in data engineering to develop and maintain data systems. Her work involves utilizing advanced data tools and technologies to ensure efficient data processing and management. Located in Indianapolis, Indiana, eimagine focuses on providing innovative technology solutions, and Sloan contributes to various projects that enhance the company's data capabilities.
Previous Experience in Data Engineering
Prior to her current position, Samantha Sloan worked at several organizations in data-related roles. She served as a Data Engineer at InformaticsIQ, Inc. for four months in 2021. Before that, she held the position of Data Engineer III at Peloton Interactive from 2021 to 2022, where she further honed her skills in data engineering. Additionally, she gained experience as a Data Scientist at the Indiana Family and Social Services Administration from 2019 to 2021.
Education and Expertise
Samantha Sloan holds a Bachelor’s Degree from Purdue University, which she completed from 2012 to 2015. She later pursued a Master’s degree at Penn State University, graduating in 2019. Her educational background is complemented by her expertise in applied statistics, Docker, and Kubernetes. These skills are crucial for analyzing complex data sets and managing containerized applications in data engineering.
Background in Data Science
Samantha Sloan began her career in data science with an internship at Rolls-Royce in 2018, where she worked for two months as a Data Science Intern. This early experience laid the foundation for her subsequent roles in data engineering and data science. Her professional journey reflects a commitment to developing innovative solutions and enhancing data processing capabilities across various organizations.