I’m developing my data science skills through work in Python, SQL, machine learning, and generative AI. As a Machine Learning Intern at Cognifyz, I worked on data preprocessing, cleaning, and exploratory analysis, then developed and evaluated models for prediction and classification.
For my final-year project, RailMate, I worked on an AI-driven railway complaint management system that uses Google Gemini AI and NLP to classify complaints, analyze sentiment, and prioritize issues. The project also includes staff recommendations and analytics dashboards.
I also developed an HR policy assistant using RAG to answer employee questions from organizational policy documents. I implemented semantic search and vector retrieval with Gemini embeddings and FAISS, and integrated a Gemini LLM through a Flask web application.
