Áreas temáticas: 53 - ciencias económicas, 5311 - organización y dirección de empresas , 5311.04 - organización de recursos humanos
Etiquetas: sda, staffing, draw conclusions such as: the virality ratio that this event has had, as a result of the news of the ere carried out by bbva, the executed capex usually differs from the requested capex. the ml algorithm developed will try to estimate the capex executed based on parameters such as the name of the project, analysis of feelings and more., we can see the same photo over time and see when variations occur, in parallel to the bank's daily tasks, throughout my internship at bbva, each of the authorized projects requests a capex budget. however, i have carried out 3 projects for which the use of big data and advanced analytics has been essential.the first of the projects is to use machine learning. each q, the ranking of the project within the sda agenda, kpi’s, thus being more prepared to face the changes.finally, the mmf's developed and more.the second of these projects consists of the extraction of kpis through graphs and tables. for this, following the sda global agenda, based on the information obtained, i decided to use big data as a service (bdaas) and thus be able to gather historical data: from 4q 2020 to 2q 2021. in this way, mmf’s, i found it interesting to listen to social networks and, at the end of the q
