GIOVANNACALABRESE VILLANUEVA

Data science × Consumer perspective

Miami, FL · Open to opportunities

A feel for people.
A mind for data.

THE PORTFOLIO
VOL. 01 / 2026

I’m Giovanna Calabrese Villanueva — a Data Science graduate student bringing a fashion founder’s perspective to consumer insights, pricing, and predictive analytics.

Consumer insights✳Retail & fashion✳Pricing analytics✳Predictive modeling

01 / Selected work

Good questions.
Clearer decisions.

Three business questions, explored through data. From the beauty shelf to the housing market.

Giovanna Calabrese Villanueva in graduation regalia outside the Gus Machado College of Business

02 / About me

Fashion taught me to read consumers.
Data science taught me to model the patterns.

I’m Giovanna — a fashion founder and Data Science graduate student based in Miami.

Building a fashion brand made pricing, product mix, and consumer behavior practical business questions. Today, I combine that commercial perspective with Python, statistics, and machine learning to turn those questions into evidence.

My focus / Consumers · Retail · Pricing · Predictive analytics

03 / From fashion to data

A connected journey.

Business context came first. Analytical tools added a new way to investigate it.

2020–2024

Building a brand. Learning the market.

Co-Founder & Creative Director · RIVKA · Brazil

Directed four seasonal collections totaling 800+ garments. Managed sourcing, product mix, pricing, and inventory across a growing fashion business.

98%sell-through1,000+client conversions100K+website visits
Summer 2025

Listening before recommending.

Marketing Intern · Faxion AI · Brazil

Conducted 100+ consumer research touchpoints and analyzed engagement across 180+ pieces of content to inform AI styling, personalization, and Gen Z positioning.

2026–Present

Adding a new analytical lens.

M.S. Data Science student & Graduate Assistant · St. Thomas University

Studying statistical analysis and predictive modeling while supporting faculty, students, and the Fashion Retail & Innovation Center.

04 / What I bring

Analytical tools.
Commercial instincts.

Explore & explain

Data & statistics

Python · pandas · NumPy
Exploratory data analysis
Statistical analysis · Regression
Matplotlib · seaborn

Model & evaluate

Predictive analytics

scikit-learn · statsmodels
Decision trees · Random Forest
Train/test evaluation · MAE · RMSE · R²
Jupyter · Excel · Databricks SQL

Translate & decide

Consumer & business

Consumer research · Pricing analysis
Fashion merchandising · Trend analysis
Retail strategy · Inventory planning
Business storytelling

Education / The foundation & the next chapter

In progress · 2026–2028

M.S. in Data Science

St. Thomas University

2026 · Cum Laude

B.A. in Fashion Merchandising & Design

Specialization in Fashion Merchandising
St. Thomas University

An industry perspective, strengthened by quantitative study.

06 / The next conversation

Data tells us what happened.
I’m interested in
what happens next.

Let’s talk about opportunities in data science, consumer insights, pricing, and retail analytics.