Analysis of modellable datasets

I can analyse specific datasets under certain conditions
Thanks to my extensive numerical modelling expertise, I feel confident to start analysing virtually any dataset almost right away. In any case, these projects have the following peculiarities:
  • Highly variable conditions
    . Trying to find solid underlying trends in a random dataset represents a very wide reality, where the required work and expected deliverables cannot be stated in a general way. That's why I will always make sure that the exact conditions of the project are properly defined before starting my work.
  • Optional pre-analysis
    . Due to the intrinsic difficulties of these projects, I will always be willing to participate in a small pre-project aimed to improve the understanding of both parties about the given situation. It will certainly be affordable (even completely free), but its exact conditions will be defined on a case by case basis.
  • No certainty regarding outputs
    . Unless under exceptional circumstances, I will never commit myself to deliver a clearly-delimited result (e.g., a very specific accuracy level) in these projects. My performance will be eminently assessed by accounting for the invested time and effort; the final outputs will also be brought into consideration, but their exact contribution will have to be adequately weighted.