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Email verificeret.
fontaniva,
italy
Det er i øjeblikket 6:55 AM her
Tilmeldt juni 4, 2014
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Anbefalinger
Francesco T.
@developiu
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fontaniva,
italy
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Genansættelsesrate
developer for web and machine learning
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Portfolio-mappe
Portfolio-mappe
MovieLens Rating Prediction Project
Predicting London Crime
Zefiro Sales Analysis
Ever drive
MovieLens Rating Prediction Project
Predicting London Crime
Zefiro Sales Analysis
Ever drive
Anmeldelser
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Erfaring
Software and Machine Learning Developer
jan. 2020 - Nuværende
◆ Integration of machine learning techniques with the Company's applications (artificial intelligence for the automotive industry), in coordination with data scientists
◆ Focused on both front-end/back-end development of a webapp for predictive analysis of the wear status of car components
◆ Tools: Python, React JS, Scikit-learn (for machine learning), NPM, Flask
Team Leader
nov. 2016 - Nuværende
◆ I coordinate the tasks for a team of 5 developers at Zefiro, taking responsibility for the most complex tasks or analyses
◆ Main project outputs: unification of the code of the 3 websites (originally on three different codebases) and integration of the MVC pattern in the frontend of the application ensuring the continuous operativity of the site and the integration of new functionalities
◆ Tools: PHP, web services, JSON, SOAP, CSS
Senior Web Developer
jun. 2016 - Nuværende
◆ Maintenance and extension of PHP applications including Melabank (bank account analysis) and iSkilled (e-learning platform)ù
◆ Currently integrating automatic detection of the level of attention of the students participating to iskilled courses
◆ Tools: Symphony, CodeIgniter, PHP, MySQL, Boostrap, Moodle
Uddannelse
phd in mathematics
(5 år)
graduated in mathematics
(6 år)
Kvalifikationer
Professional Certificate in Data Science
HarvardX
2020
I earned a professional certificate for a 1 year long program in Data Science. You can find the official certificate here:
https://credentials.edx.org/credentials/663beacb229a4dd7ae181fa59b621e83
Subjects covered:
R programming skills, tidyverse, data visualization with ggplot2 and data wrangling with dplyr
Essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
Implementing machine learning algorithms
Publikationer
Generalized strong preservation by abstract interpretation
Journal of Logic and Computation, Volume 17, Issue 1, February 2007, Pages 157–197
Written with Francesco Ranzato.
You can find the abstract here: https://academic.oup.com/logcom/article-abstract/17/1/157/939682?redirectedFrom=fulltext
Generalizing the Paige-Tarjan algorithm by abstract interpretation
Information and Computation, vol. 206, issue 5
Written with Francesco Ranzato.
You can find the full paper here: https://www.sciencedirect.com/science/article/pii/S0890540108000035
The Subgraph Similarity Problem
IEEE Transactions on Knowledge and Data Engineering
Written with Francesco Ranzato and Lorenzo De Nardo
You can find the full abstract here: https://dl.acm.org/doi/10.1109/TKDE.2008.205
An efficient simulation algorithm based on abstract interpretation
Information and Computation, vol. 208, issue 1
Written with Francesco Ranzato.
You can find the full paper here: https://www.sciencedirect.com/science/article/pii/S0890540109001503
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