- 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