Summary
Matthew Duncan is a Senior Data Analyst with three years of hands-on experience turning large, messy datasets into actionable insights for enterprises in finance and travel. With a foundation in environmental geosciences and oceanography from Texas A&M, he blends domain-driven curiosity with technical fluency in Python, SQL, PySpark, and cloud ETL to build predictive models, geospatial analyses, and revenue-boosting dashboards. At JetBlue he drove over $3.5M in YTD revenue through forecasting, pipeline automation (Databricks/Snowflake), and interactive Tableau tools, and now applies that impact-driven mindset at Centene. His project work ranges from predicting harmful algal blooms using Sentinel/Landsat imagery to recommender systems and water-well reliability models, reflecting an unusual mix of environmental modeling and commercial ML. Colleagues describe him as a pragmatic problem-solver who translates complex analytics into clear business decisions and policy-relevant findings.
3 years of coding experience
3 years of employment as a software developer
Full-time Data Science Intensive, Full-time Data Science Intensive at Flatiron School
Environmental Geosciences, Focus: Marine and Coastal Environments, Environmental Geosciences, Focus: Marine and Coastal Environments at Texas A&M University
Environmental Geosciences, Study Abroad, Environmental Geosciences, Study Abroad at University of Limerick