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EnricoGiorgi Online Offline
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Excel - VBA Developer free-lanceFeb 2012 - Apr 2012 (2 months)
Development of automated and efficient VBA sub-routines for the delivery of data, establishing connections between Excel, Word and Outlook to produce reporting and analysis to support decision making.
Logistics EmployeeNov 2010 - Nov 2011 (1 year)
- Gas consumptions forecasting; - Computation of necessary gas capabilities to satisfy customers' demand in each area; - Creation of VBA routines for data analysis; - Database Access update through query; - Creation of reports and statistical analyses on Excel (via pivot tables, array formulae, macro); - Support for corporate processes mapping and definition of the informative data flow.
Operations Data AnalystJul 2009 - Nov 2010 (1 year)
- Development of multivariate statistical models (logistic regression, principal components analysis, Monte Carlo and cross-validation simulations, ROC curve analysis) to correlate the percentage of scraps with the parameters of the raw materials, using the R software; - Production scheduling: creation of Excel reports about produced items, buffers, stocks.
ResearcherFeb 2009 - Sep 2010 (1 year)
- Development of statistical models about expert elicitation techniques; - Development of new algorithms using the software R; - Multivariate statistical analyses (cluster analysis, principal components analysis, regression,) about volcanic eruptions data sets; - Creation of probabilistic maps about volcanic risk management.
Engineering Management2003 - 2008 (5 years)
Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique
The problem of ranking and weighting experts' performances when quantitative judgments are being elicited for decision support is considered. A new scoring model, the Expected Relative Frequency model, is presented, based on the closeness between central values provided by the expert and known values used for calibration. Using responses from experts in five different elicitation datasets, a crossvalidation technique is used to compare this new approach with the Cooke Classical Model, the Equal W
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