

Cloud Support Associate at Amazon Web Services with expertise in troubleshooting complex AWS issues and providing effective solutions. Utilized technical skills in SQL and emotional intelligence to improve customer satisfaction and optimize support processes. Focused on operational excellence and continuous improvement, enhancing service efficiency.
Brain Tumor Detection using Extreme Learning Machine (ELM): As a university project, I worked as a Data Analyst with the objective of developing an accurate and efficient methodology for brain tumor detection by leveraging the Extreme Learning Machine (ELM) model and using GLCM for feature extraction from medical images.
AI-powered OpenSearch query generator and optimizer: As part of my internship at Amazon Web Services, I worked on an AI-driven project to generate and optimize OpenSearch queries, focusing on improving query efficiency, reducing latency, and enhancing search performance in cloud-based environments.
Integrated Rehabilitation Centre for Addicts: As a Front-End and Back-End Developer, I developed a web-based drug addiction data collection platform using React for the front end and Node.js for backend services, with data securely stored and managed using MySQL.