Almost 25 years of on field experience in R&D, production, operation and management, both in international industries of microelectronics and semiconductors, and in software companies.Solid academic preparation with 2 master degrees: one in experimental Physic and one in applied statistic.Key point, starting from large amounts of data, is the ability to provide through dedicated SW, informative dense pictures to allow effective decision making. My core expertises :1. Hypothesis Testing and inferenceData synthesis to represent a sample, comparison between samples, characteristics of the sampled population. Examples: effectiveness of different treatments, demographic analysis, analysis of performances of complex systems in different operating conditions .2 . Multivariate analysis and time series regression Functional dependency between one or more response variables and other available variables, also in the case of time evolution of the response (time series ) . Example: predictive fuel consumption of an engine in given operating conditions and evaluation of performances drift. Quantification of delayed maintenance .3 . Cluster analysis Research of non-functional dependencies between variables (associations in consistent patterns).Examples : association between categories of users and measurable behavior; association between communication strategy (media investment in advertising) and business results by product category .4 . Design of experimentsEvaluate the minimum number of tests to obtain a given result . Identify the conditions to get the desired response from a complex system. Examples : identification of operating conditions to obtain a product in given specification ( lean development and production)The above in classical or Bayesian approach; static systems or evolutionary and self-learning systems. Mainly for structured data but also for unstructured ( semantic analysis )