As an MS in Computer Engineering candidate at NYU, I bring a passion for data science, AI, and full-stack development, with a foundation in cutting-edge technologies and hands-on experience driving efficiency and innovation.I have successfully applied my skills in automation, deep learning, NLP, and cloud technologies across diverse projects, including cost-saving automation solutions for banking, advanced healthcare POCs, and multilingual conversational AI. My background as a Jr. Data Scientist and Research Assistant has strengthened my expertise in designing and deploying scalable solutions, whether working with REST APIs, deploying with FastAPI and Uvicorn, or developing using advanced models like CNNs, MultiResNet, and Transformer architectures.Key Highlights:Reduced costs by 27% for major Indian banks by automating document processing with Azure OCR, NLP, and YOLO.Enhanced health monitoring systems for insurers with multi-threaded, CNN-based solutions, achieving a 75% acceleration in processing.Published research on AI model training methodologies and deep learning frameworks to improve performance and training efficiency, contributing to journals in medical imaging and cybersecurity.I’m passionate about leveraging technology to create impactful solutions and am continually expanding my knowledge in AI, data science, and development frameworks to stay at the forefront of industry trends.Let's connect if you're interested in discussing projects, tech trends, or collaborative opportunities in data science and AI!