The longer the exposure to stress serious the health issues may occur. Many of those issues are related to the immunity, cardiovascular, endocrine systems, and many more. Once established in the body, these problems require a substantial investment of time, money, and efforts for recovery. With early detection and treatment, however, these health issues may be nipped within the bud, thus improving quality of health and hence life. Stress impairments are one of the common issues among working professionals in the tech or non-tech giants today. With changes in lifestyle, work cultures, and working schedules, there is an increase in the risk of being affected by stress among the employees working in companies. Though many industries provide psychological issues-related schemes and try to ease the workplace environment, the issue is far from control. In this paper, we would like to apply machine learning techniques to analyze stress patterns in adults and to retrieve the factors that strongly determine stress.