Predicting Employee Performance using Machine Learning
The goal of this research is to create a machine learning model that uses historical employee data to predict future performance in organisational contexts. The goal is to divide people into three distinct categories—high performers, moderate performers, and low performers—and to use data to improve...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/26996/1/Nathaniel_fyp2_report.pdf http://utpedia.utp.edu.my/id/eprint/26996/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Petronas |
| Language: | English |
| id |
oai:utpedia.utp.edu.my:26996 |
|---|---|
| record_format |
eprints |
| spelling |
oai:utpedia.utp.edu.my:269962024-05-29T07:25:19Z http://utpedia.utp.edu.my/id/eprint/26996/ Predicting Employee Performance using Machine Learning Chol Gakeer Alier, Nathaniel QA75 Electronic computers. Computer science The goal of this research is to create a machine learning model that uses historical employee data to predict future performance in organisational contexts. The goal is to divide people into three distinct categories—high performers, moderate performers, and low performers—and to use data to improve talent management and decision-making. The construction of the model entails addressing issues such as data quality, bias, and interpretability. In comparison to present methods, the expected outcomes include increased accuracy, speed, and versatility. However, ethical concerns, such as fairness and openness, remain central to the initiative. As organisations seek more innovative employee management approaches, this project aims to deliver a forward-thinking and adaptable paradigm that matches with changing organisational dynamics. 2024-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/26996/1/Nathaniel_fyp2_report.pdf Chol Gakeer Alier, Nathaniel (2024) Predicting Employee Performance using Machine Learning. [Final Year Project] (Submitted) |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
| url_provider |
http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
QA75 Electronic computers. Computer science |
| spellingShingle |
QA75 Electronic computers. Computer science Chol Gakeer Alier, Nathaniel Predicting Employee Performance using Machine Learning |
| description |
The goal of this research is to create a machine learning model that uses historical employee data to predict future performance in organisational contexts. The goal is to divide people into three distinct categories—high performers, moderate performers, and low performers—and to use data to improve talent management and decision-making. The construction of the model entails addressing issues such as data quality, bias, and interpretability. In comparison to present methods, the expected outcomes include increased accuracy, speed, and versatility. However, ethical concerns, such as fairness and openness, remain central to the initiative. As organisations seek more innovative employee management approaches, this project aims to deliver a forward-thinking and adaptable paradigm that matches with changing organisational dynamics. |
| format |
Final Year Project |
| author |
Chol Gakeer Alier, Nathaniel |
| author_facet |
Chol Gakeer Alier, Nathaniel |
| author_sort |
Chol Gakeer Alier, Nathaniel |
| title |
Predicting Employee Performance using Machine Learning |
| title_short |
Predicting Employee Performance using Machine Learning |
| title_full |
Predicting Employee Performance using Machine Learning |
| title_fullStr |
Predicting Employee Performance using Machine Learning |
| title_full_unstemmed |
Predicting Employee Performance using Machine Learning |
| title_sort |
predicting employee performance using machine learning |
| publishDate |
2024 |
| url |
http://utpedia.utp.edu.my/id/eprint/26996/1/Nathaniel_fyp2_report.pdf http://utpedia.utp.edu.my/id/eprint/26996/ |
| _version_ |
1800722154029842432 |