Nevio Dubbini Email & Phone Number
Who is Nevio Dubbini? Overview
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Nevio Dubbini is listed as Reaearch Fellow at Università di Pisa, based in Pisa, Tuscany, Italy. AeroLeads shows a matched LinkedIn profile for Nevio Dubbini.
Nevio Dubbini previously worked as CEO at Miningful and Principal Mathematician at Science4Data. Nevio Dubbini holds Doctor Of Philosophy (Ph.D.), Applied Mathematics from Università Di Pisa.
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About Nevio Dubbini
Ph.D. in Applied Mathematics. Running Miningful, a company operating in the area of Data Science, AI, and Statistics. We specialized in extracting and processing hidden information in the complexity of data, trasforming them into decisions, making predictions more accurately and responding readily to the needs of the market. By combining data analysis, algorithms, mathematical modeling and a team of data scientists, Miningful transforms complex data into meaningful results, communicative visualizations and effective stories. www.miningfulstudio.eu
Listed skills include R, Matlab, Big Data, Statistics, and 15 others.
Nevio Dubbini's current company
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Nevio Dubbini work experience
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Ceo
Miningful Studio is a company operating in the area of data science and statistics. We specialize in extracting and processing hidden information in the complexity of data, trasforming them into decisions, making predictions more accurately and responding readily to the needs of the market. By combining data analysis, algorithms, mathematical modeling and a team of data scientists, Miningful Studio transforms complex data into meaningful results, communicative visualizations and effective stories.
Principal Mathematician
Data Analyst, Freelance
Design of Experiments, Statistical and epidemiological analyses relative to Nuclear Medicine, Melanoma.
Statistician
Design, collection, data analysis of customer satisfaction survey.
Instructor
Instructor for the course ``Advanced statistical methods of field experiments'' @ Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy
Contract Recruiter
Contract recruiter hiring for a data analyst, creation and advertisement of job postings, organization and selection of cv's, job interviews, assessment of candidates' knowledge and skill levels, working collaboratively with company staff.Interested? Check out the link!
Data Scientist, Freelance
Sql and no-sql databases data analysis; Analytics; Statistical Analyses; Algorithms and testing for automatic online tutoring systems.
Contract Recruiter
Contract recruiter hiring for a data analyst, creation and advertisement of job postings, organization and selection of cv's, job interviews, assessment of candidates' knowledge and skill levels, working collaboratively with company staff.
Statistician, Freelance
Statistical Analyses, data visualization, reporting, in the biomedical sector.
Contract Researcher
1.) Mathematical modelling to interpret archaeological data.2.) Algorithm for the determination of archaeological potential for landscapes.3.) Big data applied to archaeology.
Data Scientist
Statistician, Freelance
Statistical and epidemiological analyses relative to real-life data, Nuclear medicine, Oncology
Statistician, Freelance
Design, collection, data analysis of customer satisfaction survey.
Operations Manager And Speaker
Operations manager and Speaker @ Communication QuickStart Workshop 2016, a joint ACM/ MPNE workshop on communication for European Melanoma advocates.
Operations Manager & Instructor
Operations manager and Instructor @ summer school "Archaeology of the future: data mining, data analysis, data driven archaeology".The Summer School will enable participants to manage the whole life cycle of archaeological data. It is built around a new paradigm which takes into consideration the role of the archaeologist as both producer and user of digital Archaeological data. Attendees will learn the concepts and methods of data retrieval, management, analysis and communication through an integrated use of technology and mathematical principles. The Summer School will take place from the 11th to the 29th of July 2016, at the University of Pisa, Italy.
Statistician, Freelance
Design, collection, data analysis of customer satisfaction survey.
Data Analyst, Freelance
Statistical analysis of weed composition, functional characters, and productivity data.
Data Analyst, Freelance
Design of Experiments and statistical analyses, Algorithms and mathematical modelling in control theory.
Editorial Work
1) Creation of recapitulatory data sheets in a mathematics book, secondary school.2) Creation of interactive mathematics tests, secondary school.
Post Doc Researcher
1.) Data analysis and development of a mathematical model to interpret archaeological data.2) Development of an algorithm for the determination of archaeological potential
Post-Doc Researcher
1) Data analysis of fMRI time series.2) Development of a mathematical model to represent human brain activations
Nevio Dubbini education
Doctor Of Philosophy (Ph.D.), Applied Mathematics
Laurea Degree, Mathematics, 110 Cum Laude
Education record
Frequently asked questions about Nevio Dubbini
Quick answers generated from the profile data available on this page.
What company does Nevio Dubbini work for?
Nevio Dubbini works for Università di Pisa.
What is Nevio Dubbini's role at Università di Pisa?
Nevio Dubbini is listed as Reaearch Fellow at Università di Pisa.
Where is Nevio Dubbini based?
Nevio Dubbini is based in Pisa, Tuscany, Italy while working with Università di Pisa.
What companies has Nevio Dubbini worked for?
Nevio Dubbini has worked for Università Di Pisa, Miningful, Science4Data, Acm - Association Against Melanoma, Pisa, Italy., and University Residence “R. Einaudi”, Turin, Italy.
How can I contact Nevio Dubbini?
You can use AeroLeads to view verified contact signals for Nevio Dubbini at Università di Pisa, including work email, phone, and LinkedIn data when available.
What schools did Nevio Dubbini attend?
Nevio Dubbini holds Doctor Of Philosophy (Ph.D.), Applied Mathematics from Università Di Pisa.
What skills is Nevio Dubbini known for?
Nevio Dubbini is listed with skills including R, Matlab, Big Data, Statistics, Data Analysis, Python, Predictive Modeling, and Machine Learning.
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