Master's Dissertation
Designing More Sustainable Fashion Materials with AI
A Random Forest model using Kering environmental data to predict material impact and support more sustainable fashion product-development decisions.
I use analytics, business intelligence, and visual storytelling to uncover patterns and communicate what matters.
Selected Work
01—04
Master's Dissertation
A Random Forest model using Kering environmental data to predict material impact and support more sustainable fashion product-development decisions.
Exploratory Data Analysis
Analysis of nearly 20,000 TikTok videos using Python and Tableau to identify behavioral patterns and support future claims-classification modeling.
Predictive Analytics
Developed a logistic regression model to predict employee turnover at Salifort Motors, uncover key drivers of attrition, and recommend data-driven retention strategies.
Business Intelligence
A Google Fiber dashboard concept designed to reveal repeat-call trends, improve service visibility, and support better operational decisions.
Credentials
Education + Training
MSc Fashion Analytics & Forecasting
London College of Fashion, UAL
Google Advanced Data Analytics
Professional Certificate
Google Business Intelligence
Professional Certificate
CS50’s Introduction to AI with Python
Harvard University
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