Nancy Kumari

I am an undergraduate Computer Science (AI & ML) student with hands-on experience building machine learning, deep learning, and computer vision applications. I combine strong academic performance (CGPA 9.14) with practical training from Udemy, Scaler, and PwC courses to deliver production-ready models.

I have developed RAG-powered conversational systems, CNN-based real-time age and gender predictors, and BERT-based sentiment classifiers, achieving high accuracy across projects (93%, 96%, 85%). I design robust pipelines that include EDA, feature engineering, model training, and deployment.

My internships and freelance frontend work include building responsive portfolio sites and improving UI/UX for engagement and accessibility, and I contributed to initiatives like senior-friendly chatbots and promotional pages. I was a college-level SIH finalist for a Women Safety Analytics project focused on automatic threat detection and real-time response.

I bring proficiency with Python, Java, JavaScript, PyTorch, TensorFlow, OpenCV, LangChain, and Hugging Face tools, and I value collaboration, rapid learning, and pragmatic problem-solving to convert research and prototypes into usable products.