Big data analysis for accurate decisions: internship experience at Neoway S.A

Detalhes bibliográficos
Autor(a) principal: Pinto, Thiago Turini Alves
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/106501
Resumo: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
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spelling Big data analysis for accurate decisions: internship experience at Neoway S.ABig Data AnalyticsData MiningMachine LearningInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsIt is commonly shared that data is very valuable today and that big data is a trend term and a concern in business. However, transforming data into information that supports decisions is not a simple task, and this is the basis of work for Neoway, a Brazilian company with an office also in the United States and a recently created in Portugal. This report is based on the construction of a viable product for potential customers in Portugal and also my experience in perspective as a Data Scientist in this endeavor. Experience in which I was able to apply a lot of knowledge learned in the Master of Advanced Analytics and I was also able to verify in practice all the challenges in the creation of variables through concepts of Data Mining, Machine learning and statistical studies.Pinheiro, Flávio Luís PortasRUNPinto, Thiago Turini Alves2020-11-02T16:32:12Z2020-09-282020-09-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/106501TID:202533611enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:48:27Zoai:run.unl.pt:10362/106501Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:19:39.388813Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Big data analysis for accurate decisions: internship experience at Neoway S.A
title Big data analysis for accurate decisions: internship experience at Neoway S.A
spellingShingle Big data analysis for accurate decisions: internship experience at Neoway S.A
Pinto, Thiago Turini Alves
Big Data Analytics
Data Mining
Machine Learning
title_short Big data analysis for accurate decisions: internship experience at Neoway S.A
title_full Big data analysis for accurate decisions: internship experience at Neoway S.A
title_fullStr Big data analysis for accurate decisions: internship experience at Neoway S.A
title_full_unstemmed Big data analysis for accurate decisions: internship experience at Neoway S.A
title_sort Big data analysis for accurate decisions: internship experience at Neoway S.A
author Pinto, Thiago Turini Alves
author_facet Pinto, Thiago Turini Alves
author_role author
dc.contributor.none.fl_str_mv Pinheiro, Flávio Luís Portas
RUN
dc.contributor.author.fl_str_mv Pinto, Thiago Turini Alves
dc.subject.por.fl_str_mv Big Data Analytics
Data Mining
Machine Learning
topic Big Data Analytics
Data Mining
Machine Learning
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
publishDate 2020
dc.date.none.fl_str_mv 2020-11-02T16:32:12Z
2020-09-28
2020-09-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/106501
TID:202533611
url http://hdl.handle.net/10362/106501
identifier_str_mv TID:202533611
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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