Abstract
Nowadays competitions in workplaces become increasingly intense. People are looking for promotion strategies that could help them move up faster in their career paths. Our main objective is to determine how factors such as personality, industry and education background impact one's career path, and the highest career stage one could reach. In this study, we bring a novel methodology to determine a career stage based on the job title and company information, so that a career path that consists of several stages could represent the occupational growth. We associate individuals' career paths with their education backgrounds, unique thinking styles, interests, and personalities by analyzing extensive users from Social Media. Our study shows that those able to move up faster and higher share particularly similar traits, characteristics and tendencies. Finally, we employ machine learning techniques to predict career progression with a promising accuracy.