- Implemented LDA topic modeling on large-scale text datasets (1000+ reviews) - Extracted latent topic distributions and identified top contributing terms per topic - Analyzed patterns across different domains (e.g., restaurant vs. movie reviews) - Interpreted probabilistic outputs to generate meaningful insights from unstructured text data