Salary Estimator using Big Data

Abstract

This paper aims to present a salary prediction system. This system use the economic liberalization of Indian markets in early 90s boosted the economic growth of the nation in various sectors over the next two decades. One such sector that has seen a massive growth in this time is Information Technology (IT). The IT industry has played a very crucial role in transforming India from a slow moving economy to one of the largest exporters of IT services. This growth created a huge demand in the labour markets for skilled labour, which in turn made engineering one of the top choices of study after high school over the years. In addition, the earning potential and an opportunity to contribute to technology advancements after engineering, makes it a popular choice of study. These growth dynamics along with the diversified education and labor markets demands gives insight into the factors affecting the employment outcomes of engineering students job postings from job recruiting websites. The growth dynamics along with the employment outcomes of engineering Using big data techniques .Techniques like lasso and random forest are made in use to optimize the API Keywords— Feature Selection, Hypothesis Testing, Job Salary, Prediction engine, Random Forest, Regression, Salary Predictors, Support Vector Machines, Salary Predictor