Graduate Research Assistant – Systematic Review Data Annotation
Orchestrated a full-scale systematic review using a custom NLP labeling pipeline to mine and annotate 4,000+ scholarly articles. Designed and implemented protocols for high-precision text classification and thematic extraction. Synthesized and validated results into interpretable sets of high-impact articles for research impact analysis. • Engineered annotation workflow for large document corpora • Applied rigorous PRISMA review protocol for labeling • Used custom Python software for document processing • Ensured reproducibility and data integrity throughout pipeline