Modeling Compensation of Data Science Professionals in BRIC Nations

  • M. J. Smibi
  • Vivek MenonEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)


This paper proposes a model for predicting the compensation of data science professionals in BRIC nations based on the worldwide Data Science Survey conducted by Kaggle in 2017. In this paper, we have used the Rosling’s approach to adjust the compensation amount in BRIC currencies with respect to Purchasing Power Parity (PPP) units. Exploratory data analysis is used to identify the factors that influence the compensation amount, and an XGBoost algorithm is employed to predict the compensation. We evaluate the performance of the model by generating the Root Mean Squared Log Error (RMSLE) score. The results indicate a robust prediction using the XGBoost algorithm.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of ManagementAmrita Vishwa VidyapeethamKochiIndia
  2. 2.Department of Computer Science and EngineeringAmrita Vishwa VidyapeethamKollamIndia

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