Multimodal Data Curation and Quality Assessment for Predictive Modeling
Performed expert-level data curation and labeling for a multimodal machine learning project aimed at adoption prediction. The task involved evaluating and labeling features across disparate data types, including textual descriptions and image metadata, to ensure high-quality training inputs.