Specializations for the Peruvian Professional in Statistics: A Text Mining Approach
نویسندگان
چکیده
The objective of this study was to identify the specialization profiles which are most required by companies and organizations in Lima, through the analysis of job postings published in the Internet. Text Mining techniques were used to extract relevant information and to identify some generic skills for the Peruvian statisticians. For purposes of this study, we analyzed 2,809 job postings published in the Blog “Estadísticos de Perú” [2], between 2009 and 2014. We have identified many requirements, knowledge and specific skills that companies and organizations were looking for. After that, job postings were segmented using Singular Value Decomposition (SVD) of the Terms and Documents Matrix. In addition, five segments were discovered, corresponding to specific competency profiles of statisticians, where each one has different types of knowledge and specific skills.
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