Illuminating Singapore careers with data driven knowledge graph exploration

In today's rapidly evolving job market, characterized by rapid technological advancements and disruptive business models, the pursuit of professional qualifications has become increasingly complex. While Online Professional Networks like LinkedIn and Learning Sites like Pluralsight provide p...

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Bibliographic Details
Main Author: Ng, Isabelle
Other Authors: Long Cheng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171987
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1719872023-12-08T15:37:07Z Illuminating Singapore careers with data driven knowledge graph exploration Ng, Isabelle Long Cheng School of Computer Science and Engineering c.long@ntu.edu.sg Engineering::Computer science and engineering In today's rapidly evolving job market, characterized by rapid technological advancements and disruptive business models, the pursuit of professional qualifications has become increasingly complex. While Online Professional Networks like LinkedIn and Learning Sites like Pluralsight provide platforms for job seekers to explore opportunities, they often lack clear insights into the key skills necessary to qualify for specific roles. This gap has highlighted the need for a more comprehensive and transparent system that offers personalized skill development and job recommendations. In a landscape where job seekers demand actionable insights and tangible pathways to career success, this project will present a transformative solution. By seamlessly integrating personalized skill development, job recommendations, and a structured guide for skill-pivoting, this initiative empowers individuals to navigate the complexities of the modern job market with clarity, confidence, and a practical understanding of how to adapt their existing skill sets effectively. Bachelor of Engineering (Computer Science) 2023-11-20T03:53:02Z 2023-11-20T03:53:02Z 2023 Final Year Project (FYP) Ng, I. (2023). Illuminating Singapore careers with data driven knowledge graph exploration. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171987 https://hdl.handle.net/10356/171987 en SCSE22-1079 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Ng, Isabelle
Illuminating Singapore careers with data driven knowledge graph exploration
description In today's rapidly evolving job market, characterized by rapid technological advancements and disruptive business models, the pursuit of professional qualifications has become increasingly complex. While Online Professional Networks like LinkedIn and Learning Sites like Pluralsight provide platforms for job seekers to explore opportunities, they often lack clear insights into the key skills necessary to qualify for specific roles. This gap has highlighted the need for a more comprehensive and transparent system that offers personalized skill development and job recommendations. In a landscape where job seekers demand actionable insights and tangible pathways to career success, this project will present a transformative solution. By seamlessly integrating personalized skill development, job recommendations, and a structured guide for skill-pivoting, this initiative empowers individuals to navigate the complexities of the modern job market with clarity, confidence, and a practical understanding of how to adapt their existing skill sets effectively.
author2 Long Cheng
author_facet Long Cheng
Ng, Isabelle
format Final Year Project
author Ng, Isabelle
author_sort Ng, Isabelle
title Illuminating Singapore careers with data driven knowledge graph exploration
title_short Illuminating Singapore careers with data driven knowledge graph exploration
title_full Illuminating Singapore careers with data driven knowledge graph exploration
title_fullStr Illuminating Singapore careers with data driven knowledge graph exploration
title_full_unstemmed Illuminating Singapore careers with data driven knowledge graph exploration
title_sort illuminating singapore careers with data driven knowledge graph exploration
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/171987
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