Automated data analysis report and user segmentation clustering
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/57827 |
Resumo: | Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics |
id |
RCAP_6a223e75d3252406c8323ce619f8e40e |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/57827 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Automated data analysis report and user segmentation clusteringData analysisPythonKmeansJava scriptClusteringSegmentationRelatórios de estágioInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsIn the time of Online Travel agencies like Booking.com, TripAdvisor dominating hotel market in terms of user experience and ease of experience. It is becoming tough for the independent hotels to survive their own identity and user experience value they used to create. Which in turn also affecting virtue of the hotels used to enjoy loyalty from their users. Booklyng is a web solution which creates a journey for the user experience for any visitor by creating personalize offers, push notifications, exit intent technology and other smart notification technologies. Booklyng understands the importance of user transaction data and want to utilize the full potential of data by using data analysis on data and machine learning. I had worked in booklyng as a data science intern for 6 months. In this report I intend to present the data analysis done for different hotels based on their past data to present their clients to sustain them for future purpose. They also wanted to generate user profiles to segment them based on their likeability and differentiability. To achieve this, I created an autonomous report generation system for different hotels using python and user profile based on their transaction data, their geographic data and travel expenses based on GDP. Which would help hotels to make better business decisions and provide personalize offers to their users.Vanneschi, LeonardoConzinere, FrancescoRUNSharma, Puneet Kumar2019-01-18T18:41:07Z2018-12-202018-12-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/57827TID:202151700enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:27:54Zoai:run.unl.pt:10362/57827Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:33:07.901324Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Automated data analysis report and user segmentation clustering |
title |
Automated data analysis report and user segmentation clustering |
spellingShingle |
Automated data analysis report and user segmentation clustering Sharma, Puneet Kumar Data analysis Python Kmeans Java script Clustering Segmentation Relatórios de estágio |
title_short |
Automated data analysis report and user segmentation clustering |
title_full |
Automated data analysis report and user segmentation clustering |
title_fullStr |
Automated data analysis report and user segmentation clustering |
title_full_unstemmed |
Automated data analysis report and user segmentation clustering |
title_sort |
Automated data analysis report and user segmentation clustering |
author |
Sharma, Puneet Kumar |
author_facet |
Sharma, Puneet Kumar |
author_role |
author |
dc.contributor.none.fl_str_mv |
Vanneschi, Leonardo Conzinere, Francesco RUN |
dc.contributor.author.fl_str_mv |
Sharma, Puneet Kumar |
dc.subject.por.fl_str_mv |
Data analysis Python Kmeans Java script Clustering Segmentation Relatórios de estágio |
topic |
Data analysis Python Kmeans Java script Clustering Segmentation Relatórios de estágio |
description |
Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-20 2018-12-20T00:00:00Z 2019-01-18T18:41:07Z |
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/10362/57827 TID:202151700 |
url |
http://hdl.handle.net/10362/57827 |
identifier_str_mv |
TID:202151700 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137953437450240 |