Nandana Nair

Final year B Tech Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning (AIML). Very interested in data analytics and business analyst roles. Intermediate skills in Python, Java, and C++. Experienced in completing multiple mini projects. Eager to apply analytical skills to support business decision making.

PROJECTS

• Disaster tweet detection is an NLP-based project that classifies tweets as disaster-related or not, using machine learning It uses text preprocessing and models like logistic regression to enable real-time disaster response with high accuracy The system helps filter critical information from social media during emergencies.
• SoulSync – an AI-powered mental wellness platform – built an AI-based mental health platform that combines conversational AI and semantic dream analysis to deliver real-time emotional support. It uses NLP and transformer models to detect emotional intensity, offer psychological insights, and provide personalized coping strategies through a web-based interface
• Real-time anomaly detection using CNN developed a real-time anomaly detection system using convolutional neural networks (CNN) to identify irregular patterns in streaming data Implemented deep learning techniques for accurate and fast detection, enabling timely alerts and improved decision-making in critical environments.

NPTEL - Data Analytics for Python

Oracle University - Oracle Certified Foundation Associate

HackerRank - Java Certified (Basic)

ISRO- Geodata Processing using Python and Machine Learning