AI/ML Intern / Self-Driven Projects (NLP and predictive analytics models)
Engaged in building and deploying AI/ML models for NLP and predictive analytics, which typically involves preparing and iterating on labeled training data. Worked on AI-driven recommendation components that require training datasets with meaningful target signals and evaluation labels. Performed end-to-end model iteration to improve performance for learning and recommendation use cases. • Developed NLP and predictive models using deep learning frameworks. • Collaborated with online learning communities to refine recommendation logic. • Used training/evaluation cycles to improve model outputs. • Applied data preprocessing and performance optimization during development.