Digital Footprint: Analytics

In a rapidly developing labor market characterized by a volatile balance of supply and demand, many commercial and educational organizations are faced with the task of optimizing the recruitment process. A similar need for effective search tools is also caused by applicants seeking to find vacancies quickly that match best their professional skills and qualifications. In the educational environment, in particular at the Moscow Institute of Electronics and Mathematics (MIEM), this task is also relevant. Students are required to complete a significant amount of project work during their studies, which involves participation in research and/or applied projects. At the project selection stage, students and teachers have to face the difficulties of finding the most suitable project or candidates for the project. A key element in solving this problem may be the development of an algorithm capable of ensuring a two-way compliance of interests: a student looking for a vacancy and a project manager interested in forming an effective team. This approach will significantly simplify the search and selection processes, improve the quality of project activities and ensure the achievement of the university's educational goals. Throughout the study, approaches to the implementation and practical applications of the system are discussed. The paper shows how to create a similar recommendation system from data collection to a ready-to-implement service. In conclusion, recommendations for the further development and improvement of the presented system are given. The graduate qualification work consists of 74 pages, contains 43 figures, 7 tables and 35 sources.