Completed

Flood Event Extraction from News Media (Bangladesh)

Machine Learning

BERTNLPSentinel Satellite Data

Built a BERT-based classifier to extract flood events from 40,000+ tagged Bangladeshi news articles, then used the resulting time-series (validated against Sentinel satellite data) to help the Bangladesh government develop a flood-index insurance product. Presented at AGU; published as a pre-print.