Passionate Data Scientist with over 1 year of experience in machine learning, deep learning, generative AI, data engineering, and large-scale data migration using Databricks. I specialize in building AI-driven solutions, optimizing ML workflows, and deploying scalable data pipelines to drive business insights. Proficient in Python, SQL, Generative AI, LLMs, RAG, MLOps, and DevOps, with hands-on expertise in Azure, AWS, and GCP. Experienced in orchestrating workflows with Airflow, containerization with Docker & Kubernetes, CI/CD automation via Jenkins & Git, and big data processing using Kafka & Spark. Well-versed in AI frameworks & libraries, including LangChain, NLTK, OpenAI, FastAPI, SpaCy, Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Hugging Face, and Transformers. Strong foundation in relational and NoSQL databases, such as MySQL, ChromaDB, MongoDB, and Cassandra. Driven by a deep curiosity for cutting-edge AI advancements, I am always eager to solve complex data challenges and contribute to the evolving landscape of artificial intelligence.