As a passionate data enthusiast with around 1.5 years of experience, worked as an Associate System Engineer at TCS with expertise in SQL database optimization, Excel data analysis, backend development, and IoT project leadership. At TCS, I optimized databases using advanced SQL techniques, significantly reducing downtime, and improving reporting accuracy through Excel functions. I led backend development for IoT initiatives, ensuring robust software architecture and contributing to comprehensive solution frameworks.Currently pursuing an M.S. in Computer Science with a focus on Data Science, Machine Learning, and Artificial Intelligence, I bring proficiency in Python, TensorFlow, PyTorch, and HuggingFace for machine learning applications. I have hands-on experience deploying models on AWS (Sagemaker, EC2, S3, Lambda) and Azure, implementing MLOps with Git, GitHub, and Docker. My skill set includes advanced techniques in supervised and unsupervised learning, deep learning architectures such as Neural Networks and RNNs, and NLP methods including Generative AI and ChatGPT. I am adept at data visualization using Power BI, and Tableau, and exploring cutting-edge technologies like Large Language Models (LLM) and LangChain to innovate in AI and language processing domains. I am a strong problem solver who thrives on tackling challenges head-on and delivering value. My technical and management skills allow me to provide solutions to improve business performance.