Projects:1. Automated Review Label product.- Developed NLP module for sentiment analysis to review drug’s label against multiplereference documents.- Developed NLP module for identification of contradiction in medical guidlines.- Designed and Developed the new APIs for various functionality for automated drug’slabel review using Python, Pywin32 and MongoDB as its major technologies.- Developed automation for analyzing the medical’s data by creating python library.- Design and developed a model for Data cleaning, Data preparation and Statistical analysisof heterogeneous data for Dynamic Data Dashboards.2. Literature Management Survey- Developed an automated AI tool to do literature survey for generating various safety and efficacy reports such as: Toxicology, PADER, PBREPSUR to assist the user to manage their tasks, improve efficiency and apply consistent process across the organization while maintaining accuracy.- Built a module to tag medical entities such as drug names, indications, adverse reactions etc using NLP and biobert.