Python Developer
CurrentAPP 1. Created chatbot for patients to diagnose him/her by their symptoms using NLTK and web socket. 2. Used REST and FAST APIs for a faster connection between sever. 3. Reduce the load on the server by almost over 30% by implementing multi-threading which enhances the performance of the app. 4. Optimized code which improved internal operating efficiency by 40%. 5. Developed app and web backend using Python, Flask, MongoDB, NumPy, and Pandas. Collaborated with cross-functional teams to understand business requirements and translate them into technical solutions.6. Troubleshoot and debug issues, and proposed solutions to resolve them.Web Admin 1. Developed admin panel backend and did comprehensive testing to ensure bug-free code. 2. Used Flask framework and MongoDb for better performance of the project.