Skill Evaluation and Career Mapping

Abstract

Software development is an emerging sector with a very big potential in Bangladesh. This is a sector where there is a need for professionals with knowledge of various methodologies, tools, and techniques. To have a knowledge of the requirements for the software industry is essential for job seekers in this sector. It is also required for universities and training centers for setting their curriculum. However, determining the necessary skills for a job and associating them with a job seeker is a difficult challenge. There is no easy way to find out requirements for specific types of job within the software development industry. For that reason, we have gone through 708 job ads from the Bangladesh software industry and made a dataset. Only technical skills were used to create the dataset. Soft skills such as teamwork, communication and customer orientation were excluded. Machine learning classifiers were used in the dataset to correlate different technical skills with different types of jobs. We have reported findings of various performance evaluation metrics that were used to evaluate this work. We found the best result from the Random Forest classifier. We have then used the best classifier to make a model. Using the model, we have developed an application where someone can check which type of job is suited for their skills. The purpose of this study is to help job seekers better understand the requirements of the Bangladesh software industry.