Summary
Christen Ford is an Analytics Engineer with 11 years of experience building Python full‑stack solutions that bridge cloud services, enterprise databases, and production ML pipelines. At Nationwide she architected audit storage libraries, converted legacy SPSS streams to open source, and implemented a macro/micro‑sharding approach in SageMaker to process multi‑gigabyte files in seconds. She helped create department‑wide Model Factory design templates and a pioneering automated unit test suite for batch models, blending rigorous engineering with practical governance for regulated environments. Comfortable with UI design and cross‑platform frameworks like Qt, Christen brings research‑grade ML experience from her Ph.D. work—where she built high‑accuracy classifiers and game‑playing AIs—to large‑scale production deployments. Based in Westlake, Ohio, she pairs strong communication and cross‑team collaboration with a knack for turning messy, arbitrarily formatted model outputs into standardized, auditable data products.
10 years of coding experience
4 years of employment as a software developer
Associate’s Degree, Computer Information Systems - Software Development, 3.68, Associate’s Degree, Computer Information Systems - Software Development, 3.68 at Lorain County Community College
Bachelor’s Degree, Computer Science, 3.893, Bachelor’s Degree, Computer Science, 3.893 at Baldwin Wallace University
Master of Science - MS, Software Engineering, 4.00, Master of Science - MS, Software Engineering, 4.00 at Cleveland State University