Job Market Skill Trends Using NLP: Analyzing Data & Analytics Role Requirements

This research analyzes job market skill trends across Data Analyst, Data Scientist, Machine Learning Engineer, and Business Analyst roles using Natural Language Processing (NLP). The study applies text preprocessing, TF-IDF, n-gram modeling, and Latent Dirichlet Allocation (LDA) to uncover in-demand skills, recurring themes, and role-specific competencies. It includes a curated dataset, Python analysis notebook, visualizations, and a full research paper. The findings provide practical insights for students and early-career professionals navigating the data science job market.