Lead Data Scientist - NLP Pipeline for Entity Recognition & Classification
TextEntity Ner Classification
Engineered NLP pipelines for automating Adverse Event (AE) identification in Medical Triage and Pharmacovigilance using entity recognition and classification techniques. Developed deep learning models to classify medical events from patient and clinical text data. Applied these models to replace manual labeling workflows and enhance regulatory compliance. • Automated annotation of medical entities from unstructured clinical text. • Improved accuracy of Adverse Event detection using advanced NLP techniques. • Delivered AI-driven workflows for pharmaceutical domain compliance. • Extracted entities for supporting medical safety decision systems.
Engineered NLP pipelines for automating Adverse Event (AE) identification in Medical Triage and Pharmacovigilance using entity recognition and classification techniques. Developed deep learning models to classify medical events from patient and clinical text data. Applied these models to replace manual labeling workflows and enhance regulatory compliance. • Automated annotation of medical entities from unstructured clinical text. • Improved accuracy of Adverse Event detection using advanced NLP techniques. • Delivered AI-driven workflows for pharmaceutical domain compliance. • Extracted entities for supporting medical safety decision systems.
2021 - 2023