Difficulty in Identifying Suitable IT Job Role After Learning Technical Skills
DOI:
https://doi.org/10.47392/IRJAEH.2026.0430Keywords:
Career Recommendation, Resume Analytics, Skill Mapping, Natural language Processing, Employability Enhancement, Intelligent Guidance SystemsAbstract
The rapid expansion of the Information Technology (IT) industry has led to the emergence of a diverse range of specialized job roles, each requiring unique combinations of technical and soft skills. Roles such as software developer, data analyst, cybersecurity specialist, cloud engineer, and AI/ML engineer demand not only proficiency in programming languages but also domain-specific knowledge and practical experience. While students invest significant time in acquiring programming knowledge, certifications, and technical training through academic courses and online platforms, many still face difficulty in identifying job roles that align with their individual competencies, interests, and career aspirations.This mismatch between acquired skills and job role selection often results in inefficient job application processes. Students tend to apply for multiple positions without a clear understanding of role requirements, leading to frequent rejections. Such repeated failures can negatively impact their confidence and overall employability. Additionally, the lack of proper career guidance, limited exposure to industry expectations, and insufficient awareness of role-specific skill requirements further aggravate this issue.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Research Journal on Advanced Engineering Hub (IRJAEH)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
.