I pioneered an automation system for PHI removal using BiLSTM/CRF, rule-based models, and LibSVM, achieving a 91% recall rate. Further, I fine-tuned Large Language Models like T5 and LLAMA to reach an unprecedented 96% recall, demonstrating my commitment to privacy and data integrity in healthcare analytics.

Improved data operations by automating pipelines and building dashboards to track key hiring metrics, which streamlined the recruitment process. Deployed a machine learning model that enhanced candidate-job matching, boosting successful hiring outcomes.

Analyzed user behavior and reviews to identify higher churn among female users, applying clustering and NLP techniques to uncover key insights. Proposed and validated new app features through A/B testing, which improved female user retention by 6% and reduced gender-based churn.