014-now Airbus – Toulouse, France
Lead data scientist | Predictive analytics for aeronautics
In this context, I am the lead data scientist for PCT projects in
Skywise. Skywise is the main data-focused digitalization
program of Airbus, around 300 people are involved. We
build predictive models to assist aircraft production, prevent
delays and quality issues. We also assist aircraft configuration
management. I lead the other data scientists, data analysts
and development team.
2018-now Pierre Fabre – Toulouse/Castres, France
Data scientist | Audio classification for medical «shazam»
I combine traditional machine learning and deep learning to
classify audio records. The goal is to build a medical audio
assistant that can diagnose coughing and more.
2016-2018 Development of betting engine (freelance)
I have developed a complete betting engine, that produces
odds for European and Asian gamming, on soccer matches.
It involves probabilistic models and advanced maths.
2012-2014 Weboglobin – Paris, France
Research and development engineer | Digital marketing
In these years, I lived the start-up challenge. We have built a
complete digital marketing tool. I was in charge of R&D
sector: I helped with smart recommendations systems, web
mining, help on API integration, and web development.
Scientific and industrial research
I have worked in industrial and academic research with an
output of more than 22 publications. My research includes:
o New generation search engines assisted with semantic web,
web mining, machine learning, ..
o Social media monitoring through text mining, prediction and
learning to rank;
o Implementation of data warehouses through NoSQL systems;
o Machine learning approaches applied to different contexts;
Education and honours
o 2008-2012 : PhD in computer science, University of Toulouse,
France (12 publications)
o 2003-2008: BSc and MSc, University of Padua, Italy (rank 1/250)
o 2002: Bronze medal at the international mathematics olympiad
(Glasgow)
DEVELOPMENT & DB
Full stack dev: Java, Python, Ruby on
Rails
Big data: Spark, Hadoop, Palan-r
Foundry
Analy:cs: python, sklearn, pandas,
seaborn, keras, Lime, KNIME
Data: Cassandra, Oracle, MySQL,
postgreSql, Redis, Elas-cSearch, Pig,
Hbase, Hive, MongoDb
Web: Javascript, JQuery, Backbone,
AngularJs, W3.css
TECHNOLOGIES
Analy:cs: Big Data analy-cs,
exploratory data analysis, machine
learning, decision trees, random
forests, SVM, regression, boos-ng,
neural networks, clustering, Monte
Carlo simula-on, -me series,
Data storage: NoSQL, Hadoop, Spark,
RDBMS, data migra-on
Web & co: informa-on retrieval,
social media monitoring, seman-c
Web, Web marke-ng, web
development
Methodology: Agile SCRUM, SAFE
cer-fied, DevOps (beginner)