Predictive Attrition Model
Predictive Attrition Model
STRATEGY
Help an organization to predict employee attrition and define a strategy to reduce such costly problem.
We helped them with:
- Creating an application that can be used to predict the behavior of the employee on given data in the form using various data analysis algorithms.
ENGINEER EXPERIENCE
Solution scope included:
- Created a Flutter app with a widget for UI components for users to enter different employee attributes as inputs. The input’s given are segregated into numerical and string arrays.
- Used Scikit-learn and Python API call to gain access to specific data and methods.
- Used TensorFlow to build and train the model for available datasets.
- Predictive algorithms that work by clustering/ classifying employee profiles are trained based on the past data considering a wide range of parameters to make the best predictions.
PERFORMANCE
- Assessment of employee specifications, their strengths, and weaknesses
- Reducing the expense of recruiting new talent based on employee profiling and business criteria
- Review and evaluation of the deterioration of skills and abilities
- Economic and efficiency loss calculation due to attrition
- Provides strong knowledge of the supply and demand of workers
- Able to prepare contingency plans on the basis of the model’s experience and foresight