Employees that desire to work for Amazon will find Amazon employee access to be quite useful. Any individual on this duty who begins evolved work at a firm should obtain the access necessary to carry out their responsibilities. When a worker requests access, the manager will select that employee's request at random and provide access; this may take longer time. To provide access without human intervention, created a task utilizing the Catboost, Decision Tree, and Random Forest algorithms. This, too, takes time. Due of the performance constraint, then used ensemble algorithms such as random forest and gradient boosting. Furthermore, apply a linear classifier and obtain good results by using one-hot encoding, which converts categorical data into binary values. Finally, combine the top three predictions from Decision tree, Catboosting, and Random Forest.