I am Valmiki Sarath Kumar, a dedicated Junior Data Scientist with a strong academic foundation in Data Science and hands-on experience building intelligent, data-driven solutions. I hold an M.Sc. in Data Science from Reva University, where I developed core expertise in machine learning, deep learning, data analysis, and statistical modeling. My work focuses on understanding business problems, designing analytical workflows, and delivering insights that support data-backed decision-making. I am skilled in Python, SQL, Power BI, Scikit-Learn, TensorFlow, data visualization, exploratory data analysis, time-series forecasting, and automation.

In my professional projects, I have worked on advanced AI systems involving Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, and multi-agent workflows. I have developed and fine-tuned LLM-based solutions for data extraction, intelligent querying, conversational analytics, and knowledge automation. I’ve also built agent-based systems capable of task decomposition, tool integration, and autonomous decision-making to streamline business processes. In addition, I have contributed to projects such as fraud detection models, predictive analytics pipelines, a dynamic skill-mapping survey bot, and end-to-end business intelligence dashboards.

Beyond model development, I focus on creating structured, scalable, and production-ready solutions by combining data engineering, machine learning, and modern AI frameworks. I enjoy transforming complex datasets into actionable insights and solving real business challenges with a mix of analytical thinking and creative problem-solving. With strong communication, adaptability, and collaboration skills, I aim to contribute meaningful value in every project. I am committed to continuous learning and staying aligned with the rapidly evolving AI/LLM ecosystem, ensuring that I can deliver modern, efficient, and impactful data solutions.