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I'm passionate about transforming raw data into meaningful insights that drive strategic decision-making. With extensive experience in the IT industry, I've focused on data analysis, design, development implementation, and deployment of projects across sectors, including Healthcare and Banking. My expertise lies in applying machine learning and deep learning algorithms. Leveraging popular libraries like LangChain and Llama_index, I've explored the capabilities of Generative AI, including LLMs, and specialized features of Gemini Pro and OpenAI. Always a proponent of open source, I utilize tools and platforms such as MLflow, DagsHub, Evidently AI, Gradient AI, Gradio, Docker, GitHub, GitHub Actions, AWS, Microsoft Azure, and CI/CD Pipelines. Proficient in Python, SQL, and statistics, I've successfully applied these skills in various projects, a few of which you can explore on my GitHub: https://github.com/shivashankar066 Open to connecting with fellow data enthusiasts, collaborators, and those interested in the intersection of technology and data science.
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