Danielle Alexander
About Danielle Alexander
Danielle Alexander is an Imagery Analyst at Scale AI in St. Louis, Missouri, where she has worked since 2021. She specializes in interpreting infrared and radar images and has experience in satellite imagery analysis and machine learning technology development.
Work at ScaleAI
Danielle Alexander has been employed at Scale AI as an Imagery Analyst since 2021. In this role, she focuses on interpreting and analyzing imagery data, contributing to advancements in machine learning technology. Her work involves utilizing satellite imagery and other data sources to derive insights that support technological development. She is based in St. Louis, Missouri, where she has been part of the team for three years.
Education and Expertise
Danielle studied at LaunchCode, where she completed a program in Computer Software Engineering in 2021. This program lasted for 11 months and equipped her with foundational knowledge in software engineering principles. She has developed expertise in interpreting infrared and radar images, which is crucial for her current role. Her skills also include gathering and analyzing data from satellite imagery, further enhancing her analytical capabilities.
Background
Prior to her position at Scale AI, Danielle worked at USM as an Order Entry specialist from 2013 to 2021. During her eight years at USM, she gained experience in data management and processing, which provided her with a solid foundation for her current analytical work. This background has contributed to her ability to effectively analyze and interpret complex imagery data.
Contributions to Machine Learning Technology
In her role as an Imagery Analyst, Danielle Alexander has contributed to the development of machine learning technology by analyzing imagery data. Her work involves leveraging her skills in data interpretation to support projects that enhance machine learning applications. This contribution is significant in the context of technological advancements in the field.