Daniele Montalbano

I have 5-year experience in the Data Warehouse context, having participated to a complex finance project in a very challenging environment. Here, working in different teams, I have developed not only technical skills, for which I am a reference for my colleagues, but also business analysis and requirements gathering. I deal with developing data flow load into the Data Warehouse, feed of the Core Layer, propagation on Application Layer/Data Mart, as well as extraction to external sources.

Main subjects: Categorical Data Analysis and Statistical Models, Computational Statistics, Bayesian, Parametric and Non-Parametric Statistical Inference, Decision-Making Support Information Systems. Subject of dissertation: Estimate robust regression: an approach based on the bootstrap method.

Main subjects: Databases, Statistical Quality Control, Demography, Survey Sampling Descriptive, Inferential and Environmental Statistics. Subject of dissertation: A statistical study on the influence of mass media in the life of young people: research on the Messina area and district.