I am a data and machine learning scientist with experience in predictive modeling, natural language processing, and full-stack development. Skilled in Python, SQL, and modern ML frameworks, I enjoy building data-driven applications that turn complex problems into intuitive solutions.

My work spans across machine learning, NLP, and conversational AI, including RAG-based chatbots, recommender systems, and predictive analytics. I also bring hands-on experience in web technologies and data visualization, with projects ranging from automated scrapers to customer segmentation and semantic search applications.

I believe in continuous learning, collaboration, and using data to create real-world impact. Whether developing scalable ML models or building user-facing applications, I aim to bridge the gap between data science and practical technology solutions.