Passionate data scientist interested in applying
data science skills to impactful, socially responsible projects.
Conducted nutritional analysis of foods and drinks at Starbucks using D3.js and HTML/CSS (waypoints), identifying a correlation between each nutrition type. The project was longlisted for 2022 IIB Awards of Data Visualization Society.
Achieved a mean squared error of 1.902 with approximately 50% of the test data and placed first in USF Kaggle Competition. Implemented a standard U-Net using TensorFlow with variations to the layers to achieve prediction of biomedical microscopy images of cells.
Co-authored a research paper on treemap literacy accepted by Eurographics Education 2023 Papers. Presented findings to the University of Nottingham team, research development.