Nidhi Patel

I’m an AI and Data Science professional focused on turning data into useful, real-world decisions. I enjoy working across machine learning, deep learning, and data visualization to create solutions people can actually use.

Most recently, I interned in Data Science & ML at Finlogic Technologies, where I built a mutual fund analysis and recommendation system using historical and live NAV data. I implemented preprocessing and feature engineering, and deployed the solution with Streamlit, FastAPI, and a React-based interface with authentication and live updates.

I also developed end-to-end AI applications, including a weather prediction web app with a Random Forest Classifier and a Streamlit UI. Through projects like an RAG-based document Q&A system (LangChain, FAISS, Groq, embeddings), I’ve strengthened my ability to design retrieval-augmented workflows that produce context-based answers.

I bring a continuous-learning mindset and enjoy exploring new tools and architectures—especially in Generative AI (prompt engineering, LLMs, and RAG). My goal is to build impactful products where strong data work meets practical engineering and clear communication.