Tejas Pawar

Background

About Tejas Pawar

Tejas Pawar is a data scientist committed to using data science to make the world a better place. He has a strong foundation in statistics, machine learning, and AI, with expertise in MLOps and Generative AI to build and deploy scalable solutions.Tejas is skilled in statistical analysis, A/B testing, and hypothesis validation, ensuring data-driven decision-making. He excels in data manipulation, preprocessing, and visualization, making complex insights clear and actionable.His machine learning expertise spans predictive modelling, deep learning, and NLP, with hands-on experience in TensorFlow, PyTorch, and Scikit-learn. On the MLOps side, he works with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) to streamline deployment and monitoring.In Generative AI, Tejas has fine-tuned large language models, built AI-powered assistants, and developed real-world LLM applications. Passionate about making AI practical and scalable, he is currently focused on AI co-pilots for data science.Tejas is always eager to collaborate on innovative projects at the intersection of data, AI, and real-world impact. Let’s connect!