Our problem statement was to find companies most probable to hire an ML Engineer/Data Analyst applicant in respect to his/her skillset using Market Segmentation techniques. The problem involves the detailed analysis of various features like Experience, Skills, Location, Sectors, Company etc using machine learning techniques such as clustering. Our case study focuses on exploring different datas available and finding out the most favorable conditions for a Data Analyst/ ML engineer to get a job. On the way, we segmented the data as Geographic, Demographic, Psychographic, Behavioral segments and found the target segments.

Link for Kaggle Survey Dataset 2021 : https://www.kaggle.com/c/kaggle-survey-2021/data