Collect, clean, and analyze structured and unstructured data. Work on data preprocessing, feature engineering, and exploratory data analysis. Build and evaluate machine learning models. Create dashboards, visualizations, and reports for business insights. Collaborate with mentors and project teams on real-time assignments. Participate in code reviews, technical discussions, and project presentations. Document findings, workflows, and project outcomes. Learn and apply industry best practices in data science and analytics.