German Munoz
Adjunct Associate Faculty @Columbia University School of Professional Studies
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WORK HISTORY
Adjunct Associate Faculty @Columbia University School of Professional Studies
New York, NY, US
As an adjunct associate at Columbia, I assist in teaching an Applied Machine Learning course. This course focuses on the applications of supervised machine learning techniques and other analytics methods in Python.
EDUCATION
Columbia University
MS in Applied Analytics
D'Amore-McKim School of Business at Northeastern University
Undergraduate, Finance and Entrepreneurship
ABOUT GERMAN MUNOZ
I work at the intersection of data and strategy, where the infrastructure you build directly shapes the decisions a business makes.Over the past several years, I\'ve specialized in turning fragmented data environments into unified, decision-ready systems. At JLL, I\'ve automated end-to-end reporting pipelines integrating data across multiple platforms, built performance tracking frameworks for vendor management, and helped shape the semantic layer that reflects how real estate businesses actually operate, not just how data is stored.What drives me isn\'t the technology itself. It\'s the moment a leadership team looks at a dashboard and finally sees their business clearly. I\'ve advised on data centralization strategy and translated complex business logic into models that make that clarity possible.In parallel, I serve as an Adjunct Associate at Columbia University in Applied Machine Learning, teaching the systems and modeling principles required to operationalize modern AI. I\'m always open to conversations at the intersection of data, strategy, and impact.
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