01
Neuroscience
Neuro-
science
My undergraduate training shaped the way I approach complex systems, behavior, research, and evidence.
Data with
human context.
I’m a New York-based data analyst with a background spanning neuroscience, fashion analytics, retail, and consumer behavior.
My work sits at the intersection of analytical rigor and human context. I’m interested in understanding not only what the data shows, but why it matters, what it means for people, and how those insights can support better decisions.
I earned my MSc in Fashion Analytics & Forecasting from London College of Fashion, where my research explored how machine learning could support more sustainable material decisions in fashion product development.
Since then, I’ve expanded my work across predictive analytics, business intelligence, machine learning, dashboard design, and visual storytelling.
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Background
Education + Perspective
Neuroscience Neuro-
02
Fashion
Retail and fashion analytics gave me a commercial lens on consumer behavior, product, and brand strategy.
03
Analytics
Today, I use data to uncover patterns, build useful analytical tools, and communicate insights clearly.
I’m most interested in work where data is not the final answer—it’s the beginning of a better question.
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