Data Science Researcher (AI dataset labeling and validation)
Developed a dataset of 5,000+ labeled images for melanated skin conditions to support medical AI training. Implemented data validation protocols with medical professionals to ensure label integrity and usability for machine learning workflows. Built preprocessing automation to streamline dataset preparation and distribution for downstream training needs. • Created labeled image dataset specific to melanated skin conditions • Conducted collaborative validation with medical professionals • Used Python to automate data preprocessing workflows • Managed large-scale medical image datasets via cloud storage