Giulio Ghirardo
Senior Software Engineer - Data Science
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolGiulio Ghirardo is a Senior Software Engineer specializing in data science with eight years of experience building data-driven systems across startups and enterprise contexts. Currently at Datadog in Zurich, he previously led engineering and data teams at Doodle and brings a strong R&D background from roles at Ansaldo Energia, GE Power and Alstom after completing a PhD at Cambridge. Trained as a civil engineer with top honors and advanced aerospace research credentials, he blends rigorous academic problem-solving with practical production delivery. Known for moving models and analytics into scalable pipelines, he combines technical leadership with hands-on implementation across data engineering and applied machine learning. Off the clock he maintains a personal site (www.gg349.net), signaling a habit of documenting and sharing his work beyond day-to-day responsibilities.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Civil Engineering, 110/110 cum laude, Bachelor's degree, Civil Engineering, 110/110 cum laude at University of UdineDoctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical/Space Engineering, Doctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical/Space Engineering at Cambridge UniversityDiploma di Licenza, Diploma di Licenza at Scuola Superiore dell'Università degli Studi di Udine
Italian, English, French
Stackoverflow
22,346reputation
4.2mreached
192answers
8questions
numpy
top-1%
matplotlib
top-1%
scipy
top-5%
python
top-1%
cython
top-5%
concatenation
top-5%
Github Skills (33)
python10
matplotlib10
numpy10
max10
hugo9
scipy9
vectorization9
plot9
concatenation9
warnings9
fft9
cython9
datadog9
documentation7
imshow6
Programming languages (3)
Github contributions (5)
gg349/gg349.github.io
Apr 2018 - Jul 2024
Contributions:1 release, 38 pushes, 1 branch in 6 years 4 months
DonErnesto/amld2021-unsupervised
May 2021 - Sep 2021
Material for the 2021 AMLD workshop on unsupervised outlier/fraud detection
Contributions:4 reviews, 8 commits, 12 PRs in 3 months
dataminingworkshopfraud-detectionunsupervisedmachine-learning
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