EduMatch is a pioneering project developed as part of the research paper "Education and the Mismatch in the Labor Market: Considerations for Improving Job-Skill Alignment." This project aims to address the critical issue of skill mismatches in the Canadian labor market by leveraging data-driven insights to align educational outcomes with labor market demands.
- Comprehensive Labor Market Analysis: Utilize advanced data analytics to understand employment trends and skill demands.
- Education-Employment Correlation: Explore the relationship between educational attainment and labor market outcomes.
- Regional and Demographic Insights: Analyze variations in employment and education across different regions and demographics.
- Predictive Modeling: Employ machine learning to forecast future labor market trends and skill requirements.
- Interactive Data Visualization: Provide stakeholders with clear, actionable insights through user-friendly dashboards.
- Languages & Frameworks: Python, Streamlit
- Database: MongoDB
- Libraries: Scikit-learn, Matplotlib, Seaborn, NumPy, Pandas
This project is part of a highly detailed research initiative aimed at:
- Identifying and addressing skill gaps in the labor market
- Informing policy decisions to improve educational standards and employment opportunities
- Enhancing the alignment between educational curricula and industry needs