Data Science Intern
• Developed a chatbot for comprehensive financial statement analysis, capable of processing multiple financial documents (PDF, CSV, XLSX, XLS) to generate detailed reports.• Engineered and fine-tuned a Retrieval-Augmented Generation (RAG) model using LangChain and Mistral-7b. Implemented Python-based backend development, creating APIs that ensure seamless integration between the generative AI model and the web application.• Designed a user-friendly web interface with Streamlit, allowing users to easily upload and analyze complex financial documents. The interface features an intuitive question-answering system providing clear, concise answers to finance-related queries and interactive data visualization tools automatically generating customizable charts and graphs to enhance the understanding of financial trends and patterns.