Global Disclosure of Economics and Business, Volume 6, No 1/2017 ISSN 2305-9168(print); 2307-9592(online) CC-BY-NC 2014, i-Proclaim | GDEB Page 7 Prediction of Potential Future IT Personnel in Bangladesh using Machine Learning Classifier Md. Hasnat Parvez 1 , Most. Moriom Khatun 2* , Sayed Mohsin Reza 3 , Md. Mahfujur Rahman 4 , Md. Fazlul Karim Patwary 5 1 Lecturer, Department of Computer Science and Engineering, Gono University, Savar, Dhaka, BANGLADESH 2 Sher-e-Bangla Agricultural University, Dhaka, BANGLADESH 3,4 Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, BANGLADESH 5 Professor, Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, BANGLADESH *Corresponding Contact: Email: moriom.rima@gmail.com Online URL: http://i-proclaim.my/archive/index.php/gdeb/article/view/306 ABSTRACT Bangladesh is one of the most promising developing countries in IT sector, where people from several disciplines and experiences are involved in this sector. However, no direct analysis in this sector is published yet, which covers the proper guideline for predicting future IT personnel. Hence this is not a simple solution, training data from real IT sector are needed and trained several classifiers for detecting perfect results. Machine learning algorithms can be used for predicting future potential IT personnel. In this paper, four different classifiers named as Naive Bayes, J48, Bagging and Random Forest in five different folds are experimented for that prediction. Results are pointed out that Random Forest performs better accuracy than other experimented classifier for future IT personnel prediction. It is mentioned that the standard accuracy measurement process named as Precision, Recall, F-Measure, ROC Area etc. are used for evaluating the results. Key Words: Future IT Personnel, IT in Developing Country, Machine Learning Classifier INTRODUCTION Machine learning algorithms are extremely used for the extraction of valuable information which is obtainable in data warehouses and other database sources. Prediction of potential future IT personnel in developing country such as Bangladesh is very much needed for job arena and administrative level. In the arena of IT job sector of a developing country, it is difficult know how many people currently involved with IT jobs, because of their unavailable of proper database. It is also challenging for future IT graduated students to choose IT based job or Non-IT based jobs. That’s why the prediction of potential IT personnel for job arena and administrative level are considered in this study. The machine learning algorithms could be applied to find the final result of potential IT personnel is one of the most inspiring work and a difficult task. The machine learning