Daniel Keane is a data-driven analyst turned player personnel associate with a decade of experience applying analytics to real-world decisions. He built predictive models for insurance denials and overturns as a Business Analyst, translating complex datasets into operational outcomes and measurable impact. Now with the New York Mets, he leverages that analytical mindset in talent evaluation and roster decisions, blending business rigor with sports intuition. Daniel’s background in Data Analytics (BBA) and hands-on facility management reflects a habit of connecting high-level strategy to day-to-day logistics. Comfortable communicating across technical and non-technical stakeholders, he excels at turning noisy signals into actionable recommendations. He brings a rare combination of predictive modeling experience and front-line operational savvy to sports personnel work.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Business Administration - BBA Data Analytics Business Administration and Management General, Bachelor of Business Administration - BBA Data Analytics Business Administration and Management General at Long Island University
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