Chris Osborne
About Chris Osborne
Chris Osborne is a Data Scientist at Fannie Mae with a dual academic background in Computer Software Engineering and Business/Managerial Economics. He previously worked as a Full Stack Java Developer at Revature.
Data Scientist at Fannie Mae
Chris Osborne currently holds the position of Data Scientist at Fannie Mae. In this role, Chris is involved in leveraging data to drive decision-making processes and contribute to the company's strategic initiatives. With a robust background in data analysis and software engineering, Chris's work focuses on providing data-driven insights and solutions.
Past Role as Full Stack Java Developer at Revature
Before joining Fannie Mae, Chris Osborne worked as a Full Stack Java Developer at Revature in 2022. During his 8-month tenure, Chris was responsible for server-side development, database management, and front-end integration. His role required a comprehensive understanding of software development and the ability to navigate different layers of technology stacks.
Education and Dual Bachelor's Degrees
Chris Osborne achieved a dual academic background with Bachelor's degrees in Computer Software Engineering and Business/Managerial Economics from Oregon State University. He completed the Computer Software Engineering program in two years, from 2019 to 2021. Concurrently, he completed his degree in Business/Managerial Economics over a four-year period, from 2017 to 2021.
Career Transition to Data Science
Chris Osborne transitioned from a Full Stack Java Developer role to a Data Scientist role in 2022. This career shift allowed him to expand his expertise from software development and engineering to include advanced data analytics. His current position leverages his comprehensive skill set to analyze complex data and contribute to data strategy and implementation.
Skills in Software Development and Data Analysis
With experience in server-side development, database management, and front-end integration, Chris Osborne possesses a well-rounded skill set in software development. His transition to a Data Scientist role has further augmented his abilities, allowing him to integrate data analysis techniques into his technical repertoire. This combination of skills positions him well in the field of data science and engineering.