“Técnicas de ciencia de datos para la identificación de competencias profesionales a través del análisis de ofertas laborales. 2020 – 2024”
This research addresses the problem of unemployment in Ecuador, which is exacerbated by a lack of awareness of the professional skills demanded by the labor market. In a context of digital transformation and high informality, many people are unable to find employment due to a lack of clear and up-to...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | masterThesis |
| اللغة: | spa |
| منشور في: |
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repositorio.uteq.edu.ec/handle/43000/8803 |
| الوسوم: |
إضافة وسم
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إضافة وسم | الملخص: | This research addresses the problem of unemployment in Ecuador, which is exacerbated by a lack of awareness of the professional skills demanded by the labor market. In a context of digital transformation and high informality, many people are unable to find employment due to a lack of clear and up-to-date information on the skills required by employers. To address this issue, data science techniques were applied to data from the National Institute of Statistics and Census (INEC) and job offers extracted by scraping online portals. The processing was carried out using natural language processing (NLP) models, random forest and support vector machine (SVM) techniques, and unsupervised models such as K-means, allowing the requested skills to be identified with high accuracy. The job skills analysis model developed provides a tool for guiding vocational training and updating evidence-based curricula. Its architecture and capacity for continuous updating make it a strategic resource for job portals. This work provides an empirical basis for reducing the mismatch between labor supply and demand, improving employability, and promoting inclusive economic development in Ecuador. |
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