Daniel Penalva is an experienced data modeler and model researcher. Having worked through his Ph.D. with financial market data analysis, dimensionality reduction, statistical methods such resampling, neural networks modeling, ODE learning, and others, he acquired a very distinguished data processing and management knowledge.
