Creative using Data Analysis to Resonate with People

Britney Venegas portrait
Beats By Dre logoCurrently an Extern @Beats By Dre

I began my career and completed the Beats by Dre Creative Advertising Strategy externship. Now I am exploring new roles that build on that creative strategy experience.

Work samples

Projects include work completed during the Beats by Dre Creative Advertising Strategy externship and other early-career creative or strategy tasks, focused on advertising and creative planning.

  • International Client, Omnichannel Retail Strategy
    Confidential Client · May 2025

    International Client, Omnichannel Retail Strategy

    Researched luxury fashion client's retail strategy across their flagship location, e-commerce site, and social media. Conducted a SWOT analysis and Miami market research to develop a localized proposal for U.S. launch strategy. Developed a social club loyalty program to differentiate the client thro

  • Predicting Buying Decisions
    Personal Project · Apr 2025

    Predicting Buying Decisions

    Explored data in R by calculating statistical averages of performance metrics and segmenting by gender and genre share. Analyzed 16 variables to create linear and logistic regression models predicting dollars spent and buyer subscription status. Segmented customers into deciles based on likelihood t

    R

About me

I began my career and completed the Beats by Dre Creative Advertising Strategy externship. Now I am exploring new roles that build on that creative strategy experience.

I'm Britney Venegas. I started my career and I'm exploring a possible career change. I completed the Beats by Dre Creative Advertising Strategy externship, where I worked on project-based creative and advertising strategy tasks tied to the program.

Externships

Beats by Dre Creative Advertising Strategy Externship

Beats By Dre

Experience

Marketing and Data Analyst

Lehigh University Art Galleries · Jan 2024 – May 2026

Research Assistant

Lehigh University, Department of Marketing · Jan 2025 – May 2025

US Networks Research Intern

Warner Bros. Discovery · Jun 2024 – Aug 2024

Education

Lehigh University

B.S. in Business Analytics, Marketing · Class of 2025

COOP Careers

Financial Services Fellow

Skills

Creative advertising strategyProject-based externship workCreative planning
Back to works

International Client, Omnichannel Retail Strategy

Researched luxury fashion client's retail strategy across their flagship location, e-commerce site, and social media. Conducted a SWOT analysis and Miami market research to develop a localized proposal for U.S. launch strategy. Developed a social club loyalty program to differentiate the client thro

Overview

Researched luxury fashion client's retail strategy across their flagship location, e-commerce site, and social media. Conducted a SWOT analysis and Miami market research to develop a localized proposal for U.S. launch strategy. Developed a social club loyalty program to differentiate the client through lifestyle events and local brand partnerships.

Back to works

Predicting Buying Decisions

Explored data in R by calculating statistical averages of performance metrics and segmenting by gender and genre share. Analyzed 16 variables to create linear and logistic regression models predicting dollars spent and buyer subscription status. Segmented customers into deciles based on likelihood t

R

Overview

Explored data in R by calculating statistical averages of performance metrics and segmenting by gender and genre share. Analyzed 16 variables to create linear and logistic regression models predicting dollars spent and buyer subscription status. Segmented customers into deciles based on likelihood to subscribe and profiled deciles by gender, genre tastes, and spend.

Social Listening with Online Reviews

Analyzed 1,500+ customer reviews in R, combining author, review, and product data to create visualizations and run t-tests. Utilized VADER sentiment scores to compare consumer attitudes towards two brands, grouping reviews by length and rating. Outlined the analyses needed to design a collaboration

RVADER

Overview

Analyzed 1,500+ customer reviews in R, combining author, review, and product data to create visualizations and run t-tests. Utilized VADER sentiment scores to compare consumer attitudes towards two brands, grouping reviews by length and rating. Outlined the analyses needed to design a collaboration for the retailer, emphasizing common audiences and customer loyalty.