Joseph Diaz

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Joseph Diaz

I seek to bring Data Science and Humanities research together in an age of polarization. I hope to use the knowledge and skills acquired to enhance my professional research and future career by helping me approach unanswered questions, process complex information, and reveal insights and conclusions.

About

From Historical Theology to Analytics

Following my formation at Marquette, I learning to use research design, pattern recognition, and clear communication to business and data analytics. By doing so, I intend to help organizations investigate difficult questions and turn data and context into decisions that actually move people.

“The Klingler College of Arts and Sciences is committed to the fundamental goal of integrating diverse areas of learning into a coherent whole. This integration lies at the heart of the liberal arts education provided at Marquette University.” – Bulletin of the College of Arts and Sciences at Marquette University Interdisciplinary Programs | Marquette University

A conceptual, pattern-finding image illustrating the transition from historical theology to marketing analytics: an overhead shot of a long desk where one side is covered with aged, open books featuring rich, textured pages and marginalia implied through blurred marks, while the opposite side holds a laptop and tablet displaying abstract, colorful data charts. In the center, an elegant divider of transparent acrylic with etched geometric patterns visually bridges the two halves. Soft morning light enters from a high window, illuminating the books with warm tones and the devices with cooler reflections, symbolizing continuity between disciplines. The composition uses a central leading line along the acrylic divider, emphasizing convergence and intellectual synthesis. Photographic realism with a contemplative, aspirational atmosphere.

Research and Analytics Snapshot

Research interests include audience insight, digital behavior, and historical reception; tools span R, SQL, Excel, and Tableau; methods emphasize data-storytelling, statistical analysis, text analysis, and mixed-methods interpretation.