Abstract: In recent years, the employment situation for college graduates in China has grown increasingly severe, with the structural mismatch between talent supply from higher education institutions and societal market demands becoming a predominant challenge in graduate employment. The emergence of big data profiling and artificial intelligence analytics has offered substantial technical support for achieving precise talent-employment matching. This study employs big data profiling technology to construct an integrated university employment supply-demand analysis and matching guidance model, encompassing evaluation, education, employment services, and career counseling. The proposed model enhances refined talent cultivation management, enables personalized employment information services, and advances scientific research in career guidance. By bridging institutional talent development with market needs, this framework provides actionable insights for optimizing employment service systems and fostering sustainable alignment between higher education outputs and labor market requirements.

Key words: Big data profiling, Employment supply and demand, Precise matching model, Employment guidance, Colleges and universities, Supply and demand analysis