Portfolio · New York
Beauty & luxury data analyst — turning trend signals into brand intelligence. Computer Science graduate. Bilingual.
About Me
"The beauty you see in anything is a reflection of the beauty in you"
I’m a Computer Science graduate from UTSA with a deep passion for the beauty and luxury industry. I sit at the intersection of data and culture — building tools that translate trend signals into actionable brand intelligence.
Whether I’m engineering a Python pipeline to analyze beauty micro-trends or architecting a database to preserve fashion history, I bring both technical rigor and genuine aesthetic sensibility to every project.
Currently based in New York City, open to trainee and intern roles at global luxury and beauty houses. Fluent in English and Spanish.
Selected Work
Featured Project
An interactive Tableau dashboard analyzing beauty trend lifecycles, distinguishing viral micro-trends from sustained macro-trends to simulate a campaign-ready brand intelligence report. Engineered a Python/Pandas pipeline processing weekly search data for 7 beauty trends across 12 months.
Database Design
A relational MySQL database cataloging iconic vintage fashion pieces from The Met and V&A Museum. SQL queries surface designer impact, collection timelines, and style-based trend forecasting.
More coming soon
Projects in progress
Career
Toolkit