Summary
Hannah Parraga is a software engineer with eight years of experience specializing in data management and scalable tooling at Argonne National Laboratory. She builds robust data pipelines and analysis software that support large-scale scientific research, drawing on prior full-stack experience at American Express where she worked with Java, Spring Boot, Kafka, MySQL, and React. Her background blends hands-on data science (MS in Data Science) with practical research experience in spintronics, where she accelerated analysis workflows and presented findings at a major industry conference. Comfortable across languages and platforms, she also has teaching experience mentoring students in Python, Java, and C, which informs her collaborative approach to engineering. Based in Westmont, Illinois, Hannah combines rigorous academic training with a track record of delivering reliable systems that enable impactful research into energy and climate challenges. An uncommon strength is her interdisciplinary mix of Russian literature and computer science, which contributes to clear technical communication and creative problem solving.
8 years of coding experience
2 years of employment as a software developer
The University of Arizona
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Wisconsin Oshkosh