I?m an ante-litteram Data Scientist, having almost 30 year experience in data management, data analysis and mathematical and statistical modeling. I'm interested in Predictive Analytics, Data Mining, Text Mining, Statistics, Mathematical Modeling, Business Intelligence, Data Warehousing. I've been providing consultancy and implementing solutions for more than 10 years, using data science, data mining, analytics, prediction models and OLAP, in order to help e-commerce players, financial institutions and retailers raise and reach their business goals.
I coauthored the "Bible"? of MDX, the language used to query multidimensional databases.
I teach Data Science and Business Intelligence in Universities and to Enterprises.
I've worked both in the business and in the scientific sector (data mining in oncology); this allows me to mix ideas coming from very different areas - like, for instance, using Survival Analysis techniques to analyze Customer Retention, or ? vice versa ? using Market Basket and Social Network Analysis to analyze cancer predictors, or to identify the factors contributing to adverse effects of cancer therapies. Btw, I've been (fingers crossed) a cancer patient as well, so I know what I'm talking about.
In my career, I've worked as a control engineer in chemical plants, as a market analyst in a multinational company, as a data warehouse developer for banks, as a BI specialist, as a BI enterpreneur and as a Data Scientist in e-commerce and in clinical research. I strongly believe in transdisciplinarity and in Bisociative Thinking. According to Arthur Koestler, "The pattern underlying the creative act is the perceiving of a situation or idea, L, in two self-consistent but habitually incompatible frames of reference, M1 and M2"?. (A. Koestler, "The act of creation"?, 1964)
http://www.bisonet.eu/node/15