Enrico Deusebio

Engineering Manager @Canonical

Milan, IT
MOBILE NUMBERS
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WORK HISTORY

Nov 2022 — Present

Engineering Manager @Canonical

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Milan, IT

Managing part of the Data Platform team, responsible for driving automated deployment, maintenance, and operations of Big Data technologies (e.g. Kafka, Spark, etc) by open-source battle-tested code using Juju (https://juju.is/)

EDUCATION

2008 — 2009

KTH Royal Institute of Technology

Exchange Programme, Aerospace, Aeronautical and Astronautical/Space Engineering

2007 — 2009

Politecnico di Torino

Master of Science (MS), Aerospace, Aeronautical and Astronautical Engineering

2004 — 2007

Politecnico di Torino

Bachelor of Science (BS), Aerospace, Aeronautical and Astronautical Engineering

SKILLS

Numerical AnalysisParallel ComputingMicrosoft OfficeHtmlMatlabPublic SpeakingBig DataMicrosoft WordBashJavasD3.jsPowerpointMicrosoft ExcelSolrResearchParallel ProgrammingTeachingSimulationsFluid DynamicsScikitTurbulenceNeoEnglishNosqlLarge-Scale Data AnalysisPythonLatexJavaHbaseApache SparkScalaFortranHadoopNeo4jTurbulence ModelingTitanC++Machine Learning

ABOUT ENRICO DEUSEBIO

I’m a social and dynamic person, very passionate about digital technologies and keen to use data analytics to address both scientific and applied problems. I have a broad range of interests, spanning from my scientific and research activity in computational fluid dynamics to the use of machine learning to bring value from data in various business problems.I\'ve been leading data science and data-engineering teams committed to developing DATA-DRIVEN applications and solutions, blending data science and software engineering skills in order to build robust, extensible and scalable apps. I love Functional Programming (even with Python!) and Graph Machine Learning. I have written a book on the latter (Graph Machine Learning, edited by Packt, and contributed to libraries on both.

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