• Data visualization, resampling, interpolation, remove trends and seasonality.
  • Analysis of raw data and big data using complexity metrics (Non linear dynamics, Chaotic analysis, Tsallis non-extensive statistics, Turbulence analysis, Entropy, etc)
  • Forecasting Models
  • Data mining (Clustering, Classification, Decision Tree, Deep Learning, Neural Networks)
  • Performance and Accuracy of Models
  • Design and Planning of Data Projects