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$20 USD / 小时
ITALY的国旗
cascina, italy
$20 USD / 小时
目前这里是11:04 下午
五月 8, 2012已加入
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Enrico G.

@EnricoGiorgi

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ITALY的国旗
cascina, italy
$20 USD / 小时
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Excel - VBA Developer

I have got a degree in Engineering Management from the University of Pisa. I have got a 3-year experience in developing Excel reports and dashboards. Moreover, I have experience in the 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. Finally, I have experience in performing multivariate statistical analysis (like regression, principal component analysis, cluster analysis), using the R software.

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文件夹

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126736

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经验

Excel - VBA Developer free-lance

Duferco Energia S.p.A.
2月 2012 - 4月 2012 (2 个月, 1 天)
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 Employee

Energetic S.p.A.
11月 2010 - 11月 2011 (1 年)
- 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 Analyst

Prysmian Cavi e Sistemi Italia s.r.l.
7月 2009 - 11月 2010 (1 年, 4 个月)
- 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.

教育

Engineering Management

Università di Pisa, 2003 - 2008
(5 年)

出版物

Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique

Reliability Engineering and System Safety
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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