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Emanuele Borroni portrait

Graduate student exploring consumer behavior and design

Masters student at Boston University with hands-on externship experience studying Gen Z behavior at Pinterest.

Work samples

Portfolio of research and project work, including the Pinterest GenZ Consumer Behavior externship and other applied studies from my masters program.

  • Do Comics Mirror America? - Boston University
    Do Comics Mirror America? - Boston University

    Integrated and cleaned datasets of 15,000 Marvel and DC characters with U.S. Census and Bureau of Labor Statistics data using Python and Pandas in Google Colab Conducted correlation analysis and developed visualizations using Matplotlib and Seaborn to examine relationships between character representation and historical U.S. demographic and workforce trends

    PythonPandasGoogle ColabMatplotlibSeaborn

About me

Masters student at Boston University with hands-on externship experience studying Gen Z behavior at Pinterest.

I am Emanuele Borroni, a graduate student at Boston University pursuing a masters degree. I have some work experience and I completed the Pinterest GenZ Consumer Behavior externship as part of my studies.

Externships

Pinterest - GenZ Consumer Behavior Externship

Pinterest

Experience

Strategic Analytics Intern

USF Athletics · August 2025 – May 2026

Marketing Intern

My Swag Site · September 2025 – December 2025

Brand Strategy Intern

Chatelier · September 2025 - December 2025

Education

Questrom School of Business, Boston University, Boston, MA

Master of Science in Business Analytics · Class of 2028

University of South Florida, Tampa, FL

Bachelor of Science in Marketing · Class of 2026

Skills

Consumer behavior researchGen Z insightsExternship project workAcademic research methodsProject-based learning

Do Comics Mirror America? - Boston University

Integrated and cleaned datasets of 15,000 Marvel and DC characters with U.S. Census and Bureau of Labor Statistics data using Python and Pandas in Google Colab Conducted correlation analysis and developed visualizations using Matplotlib and Seaborn to examine relationships between character representation and historical U.S. demographic and workforce trends

PythonPandasGoogle ColabMatplotlibSeaborn
View all work