Multimodal Student Skill Trajectory Mapping

Develop an advanced data pipeline that tracks and visualizes individual student skill development across multiple dimensions using time-series analysis and machine learning techniques. Integrate data from various sources including academic assessments, project portfolios, extracurricular activities, and self-assessment surveys. Implement dimensionality reduction techniques like t-SNE to create intuitive skill progression visualizations.