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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/171987 |
| _version_ | 1811685835222810624 |
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| author | Ng, Isabelle |
| author2 | Long Cheng |
| author_facet | Long Cheng Ng, Isabelle |
| author_sort | Ng, Isabelle |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T04:50:50Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/171987 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:50:50Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Computer science and engineering Ng, Isabelle Illuminating Singapore careers with data driven knowledge graph exploration |
| title | 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_short | Illuminating Singapore careers with data driven knowledge graph exploration |
| title_sort | illuminating singapore careers with data driven knowledge graph exploration |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/171987 |
| work_keys_str_mv | AT ngisabelle illuminatingsingaporecareerswithdatadrivenknowledgegraphexploration |