1.Data Collection and Preprocessing: Gathering relevant datasets from public or internal sources, Cleaning, labeling, and organizing data for analysis or model training 2.Literature Review and Documentation: Reviewing related research papers, technical articles, and project documentation, Summarizing findings and maintaining organized records 3.Algorithm Implementation and Testing: Assisting in implementing machine learning or statistical models, Running test cases and analyzing model performance 4.Software Development Support:Writing and debugging code modules under supervision, Contributing to frontend/backend components if applicable 5.Report and Presentation Preparation: Assisting in preparing project reports, presentations, and progress updates,Creating visualizations, charts, and tables for results