I’m a narrative-driven designer specialized in data visualization and branding.
I turn complex information into stories that are clear, engaging, and visually bold.
ROLEEnd-to-End Research and Development
DURATION5 Months (Jan-May 2025) TOOLSD3.js, Python, Copilot, Scrollama, HTML/CSS, ChatGPT Vision, GitHubSKILLSWeb Scraping, Data Cleaning, Data Analysis, Scrollytelling, Interactive Data Visualization, Machine Learning
PROJECT OVERVIEWWhat smells “feminine” or “masculine” isn’t chemistry — it’s about culture, time, and storytelling. They change — just like our ideas of gender. My thesis, Fluidnotes, maps over 25,000 perfumes and 100 years of gender history to explore how fragrance culture reflects - and sometimes challenges - our evolving understanding of gender.
Using machine learning and computer vision tools, I was able to analyze 250+ vintage advertisements, map fragrance notes into categories, and connect visuals to scent compositions. While the dataset does not represent the entirety of the global perfume market, it covers a broad span to reflect the Western industry’s dominant trends.