Automated data analysis report and user segmentation clustering

Detalhes bibliográficos
Autor(a) principal: Sharma, Puneet Kumar
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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
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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:36:38Zoai:run.unl.pt:10362/57827Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:07:29.990374Repositórios 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 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: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
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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