Summary
Danielle Swanson is a Business Intelligence Engineer with 12 years of analytics experience, recently joining Amazon after an eight-year tenure in IBM’s Federal Consulting Practice. She specializes in fraud detection and wrangling high-dimensional datasets using R, Python, and SQL to build, test, and deploy analytical models into enterprise data warehouses. Comfortable translating complex technical work for executive and non-technical audiences, she has led teams, managed projects, and driven ETL and process improvements across government and public-sector engagements. With an MS in Mathematics and Statistics from Georgetown and early exposure to Bayesian methods in research roles, she brings rigorous statistical thinking to production analytics. Based in Seattle, she combines deep domain experience in public-sector fraud analytics with pragmatic BI delivery at scale.
12 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Mathematics and Statistics, Master of Science (MS) Mathematics and Statistics at Georgetown University
Coronado High School
Study Abroad, Study Abroad at University College Dublin
Spanish, English