As a freelance data scientist I take care of the flow that transforms data into information. In 2019 I have co founded VanLog, a team of data scientists providing data science training and full stack data science solutions using open source techniques. Typically all our projects provide the client with new functionalities embodied in private new R packages, and are accompanied with training on the job sessions.
All the tools that are needed to understand and communicate data are part of our business, from statistical modeling to DevOps techniques, from report automation to creation of data applications and integration via API.
I have a wide experience in R and statistics training, especially teaching to a non technical audience. I have developed and taught academic frontal lessons as well as corporate training classes.
Finally, I am the organizer of several R related events (workshops, meetings, learnathons). In 2020 I was the chair of e-Rum2020, the main European R conference, planned in Milano and turned into the larger virtual R conference ever, with 2.000 attendees and ~150 speakers from all around the world.
All the tools that are needed to understand and communicate data are part of our business, from statistical modeling to DevOps techniques, from report automation to creation of data applications and integration via API.
I have a wide experience in R and statistics training, especially teaching to a non technical audience. I have developed and taught academic frontal lessons as well as corporate training classes.
Finally, I am the organizer of several R related events (workshops, meetings, learnathons). In 2020 I was the chair of e-Rum2020, the main European R conference, planned in Milano and turned into the larger virtual R conference ever, with 2.000 attendees and ~150 speakers from all around the world.
Founder
VanLog
Since January 2019
- Media Italia - Armando Testa group:
Development of Marketing Mix models in order to optimize advertising mix and media planning with respect to sales revenue - J.K. Dagsvik (research support):
Development of a stated preferences survey for testing the hypothesis underlying the stated preferences models in the job market field - CWS:
Machine Learning frontal lessons (80 hours class) - Mopar FCA via Reply:
Time series analysis and KPI modeling for marketing effect models - Comune di Milano e Torino:
Data science training: data manipulation and analysis with R - IGP Decaux via CGnal:
Geomarketing algorithms development
Lecturer of Quantitative Methods
Master in International Business, Cattolica University
September 2020
- Frontal lessons. Descriptive statistics and linear regression
Lecturer of Machine Learning & Big Data
Master in Data Science, Turin University
May 2019
- Frontal lessons. Introduction to big data and related machine learning methods using R
Research Assistant
J.K.Dagvisk at Statistics Norway
Since February 2013
Freelancer
Oslo
Italy
- Development of functions and tools for stable and self-similar distributions; application in the field of temperature time series and income time series
Head of eRum2020 + Community Manager
MilanoR
Since January 2016
Milano
- Chair of the 2020 European R Users Meeting, on-site conference turned into virtual event: a 4 day international R conference with 2.000 attendees and ~150 speakers. See http://2020.erum.io/
- MilanoR association board member and MilanoR community manager: workshops and learnathons organizer, content editor
Data Scientist
Quantide
Since November 2015
Freelancer
Milano
Italy
- Data Scientist: supporting data science project for national and international brands, with a special focus on automatic reporting and modelling strategies
- R Training management: content planning and training organization. Courses range from R programming to data visualization, from machine learning to R with big data.
Lecturer of Machine Learning
Information and Communication Technology Master
March 2018
- Frontal lessons. The class was an introduction to regression and classification methods, and to the use of R for data analysis and data modelling
Advanced Analytics
SeriJakala
June 2014
to July 2017
Freelancer
Torino
Italy
- Data Mining for Ikea Italia loyalty program: customers profiling and next best offer as support for CRM actions
- Advanced Analytics supporting national and international corporates' loyalty programs, including Samsung, Philip Morris, Enel, Eni
- Senior Advanced Analytics supporting Genius System, a system of intelligent couponing based on the analysis of loyalty program transactional data
Teacher Assistant
University of Milano-Bicocca
October 2011
to July 2016
Temporary Work
Milano
- Teaching support in the PLS project (2016): teaching data analysis with R to high school students
- Teaching support for the discipline of Environmental Statistics (2012): drafted exercises about biodiversity indexes and evolution models
- Teaching support for the discipline of Multivariate Statistical Analysis (2011-2012): use of SPSS for the implementation of linear and logistic regression, cluster analysis, principal components and factor analysis
Data Analyst
ANBSC
March 2011
to June 2011
Internship
Reggio Calabria
Italy
- Analysed data on property confiscation through organized crime, with particular reference to the confiscated companies and their subsequent management by the government
Master's Degree in Biostatistics and Experimental Statistics
Milano-Bicocca
September 2011
to November 2013
Statistical design, management, analysis, interpretation and evaluation of experimental studies, observational surveillance and monitoring systems in the fields of human health, population studies, economic and environmental sciences.
Winner of the scholarships "Extra" and "Placement" for the thesis: "Temperature fluctuations: the use of a probabilistic fractal model to investigate climate change"
Final Grade: 110 cum laude
Learn more
Winner of the scholarships "Extra" and "Placement" for the thesis: "Temperature fluctuations: the use of a probabilistic fractal model to investigate climate change"
Final Grade: 110 cum laude
Theoretical knowledge, operative skills and practical abilities to detect, analyze and treat quantitative and qualitative data in order to describe and interpret real evironmental, demographical, bioscientific and economic phenomena
Final grade: 110 cum laude
Learn more
Final grade: 110 cum laude
“How does the temperature vary over time? Evidence on the stationary and fractal nature of temperature fluctuations”, by J.K. Dagsvik, M. Fortuna e S.H. Moen, Journal of the Royal Statistical Society Series A 2020
"e-Rum2020: how we turned a physical conference into a successful virtual event", by M. Fortuna, F. Vitalini, M. Signorelli et al., The R Journal 2020
"e-Rum2020: how we turned a physical conference into a successful virtual event", by M. Fortuna, F. Vitalini, M. Signorelli et al., The R Journal 2020
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R
Included dplyr, ggplot, knitr, shiny, package creationExpert
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Qlikview
Advanced
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Excel / Google Sheet
Advanced
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SQL
Good
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SAS
Including Miner, Macro, SQL, IMLGood
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SPSS
Good
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LaTeX
Good
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Python
Intermediate
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Google Workspace
Expert
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Github
Advanced
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Office
Advanced
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Canva
Expert
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Wordpress
Expert
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Inkscape
Good
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English
Advanced
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Spanish
Intermediate
