Gerardo Núñez

Gerardo Núñez

Manager Audience Analytics @ The New York Times

About Gerardo Núñez

Gerardo Núñez is the Manager of Audience Analytics at The New York Times, specializing in automated reporting processes and machine learning. He holds a BA in Political Philosophy and Economics from Universidad Metropolitana and is certified as a Google Cloud Professional Data Engineer.

Current Role at The New York Times

Gerardo Núñez serves as the Manager of Audience Analytics at The New York Times. He has held this position since 2020, contributing to the organization's understanding of audience behavior and preferences. His role involves designing scalable automated processes for reporting and analysis, which enhances the decision-making capabilities of the team. Núñez focuses on empowering both technical and non-technical stakeholders through data-driven insights.

Education and Expertise

Núñez studied at Universidad Metropolitana in Venezuela, where he completed a Bachelor of Arts in Political Philosophy and Economics from 2009 to 2015. He also achieved a Bachelor of Arts in Economics during his time at the same institution, studying from 2008 to 2015. His academic background provides a strong foundation for his work in data analytics. Additionally, he is certified as a Google Cloud Professional Data Engineer, which further enhances his technical expertise.

Previous Experience in Data Science

Before joining The New York Times, Núñez worked as a Data Scientist at Zimmerman Advertising for four months in 2017, located in the Miami/Fort Lauderdale area. He then transitioned to Kaplan Higher Education, where he served as a Cross Channel Optimization Analyst from 2018 to 2020. In these roles, he developed skills in data analysis and optimization, which he applies in his current position.

Technical Skills and Tools

Gerardo Núñez is experienced in various programming languages and tools essential for data analytics. He is proficient in Python, R, and SQL, which are commonly used for data manipulation, statistical analysis, and machine learning. His technical skills enable him to design automated processes and create insightful dashboards that support data-driven decision-making.

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