Daniel Mcgonigle is a Senior Researcher in Cambridge, MA with eight years of experience at the intersection of software engineering and data science. He currently leads ML-focused research at STR, applying machine learning to complex, globally scoped problems in a purpose-driven organization. Before STR, he built ML capabilities and software solutions in Agile teams at Systems & Technology Research and contributed to higher-ed research as a Machine Learning Student Researcher at the University of Southern Mississippi. His background spans programming with Java, PHP, Perl, Python, and SQL in federal programs at Perspecta, along with a robust Air Force tenure as a weather forecaster and instructor, underscoring discipline and mission-oriented delivery. He holds a BS and MS in Computer Science from Southern Mississippi, both with high honors, and an AAS in CS from Thomas Nelson Community College, highlighting a strong formal foundation in algorithms and data processing. He is drawn to meaningful problems and is expanding his software and ML skillset to create impact, combining practical production experience with research-oriented curiosity.
Wraps sklearn FeatureUnion and transformers so that Pipeline returns DataFrame with column names and indexes.
Contributions:2 PRs, 3 pushes, 2 branches in 2 years
returnstransformerspipelinedata-sciencedataframe
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