With 3 years of hands-on experience as a data scientist, specializing in transforming raw data into actionable insights and building AI-driven solutions. Expertise spans machine learning, deep learning, statistical modeling, and time series forecasting. Excels in MLOps, deploying scalable models, and optimizing pipelines for real-world applications. Proficient in NLP, computer vision, and big data processing, leveraging cutting-edge technologies to solve complex problems. Strong expertise in DevOps tools like Docker, Apache Airflow, and LangChain for AI-driven workflows, ensuring efficient automation, deployment, and scalability. A strong analytical mindset, combined with a deep understanding of AI frameworks, positions as a dynamic force in the field of data science.