Nowadays, it has become very crucial for the Human Resources team to find the best for their company who successfully pass their checklist and hire them accordingly. This usually becomes difficult considering there can be thousands of job applications for a particular position. The main purpose of this model is to make hiring a hassle free process for the HR.
A large pool of data is provided as an input into the model Next, the model performs data cleaning and preprocessing operations As soon as the data is cleaned and transformed , an ideal dataset is created that will be used for data analysis. Data is then processed using data analysis methods and provides us the model on whether the candidate would be willing to stay at the organization even after the training ends.
Data Cleaning and preprocessing HassleFree Hire is a simple process that allows employers to filter out the best possible candidates without having too much to invest in a candidate. A lot of employees are unhappy with the career and may want a career change after having a new training experience at any company. This model easily allows the employer and recruitment team to filter out the perfect candidates without the hassles in modern day recruiting and without having to go through extra tedious tasks just to filter out the candidates who are actually suitable for the role. There are different types of roles available and depending on the seniority level the level of difficulty increases. Or when any company holds up training for the employees without having the knowledge that the employee might leave or no. This causes expenditure to the company only to lose the employee after the training.
We plan on improving the model more to actually make it into the market and keep our product ready!
Log in or sign up for Devpost to join the conversation.