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.
Muskan Dhaka (Thu,) studied this question.