Pietro Battilana
Data Scientist & Data Engineer
Bologna, Emilia-Romagna, Italy
Summary
👤
Senior🎓
Top SchoolPietro Battilana is a data scientist and data engineer with 11 years of hands-on software engineering experience, currently building ML-driven solutions at Leithà | Unipol Group. He combines a strong academic foundation—an MSc in Computer Science with highest honors from the University of Bologna—with production experience in embedded C/C++ systems and custom Linux distributions. Comfortable across the stack, Pietro moves between data pipelines, model development and deployment, leveraging his background in low-level systems to optimize performance and reliability. His early work on document transformation and tooling shows a pragmatic approach to automating tedious processes, while his blend of research-grade rigor and industrial delivery makes him effective at turning complex data into operational value.
11 years of coding experience
1 year of employment as a software developer
Master Degree MS, Computer Science, 110/110 cum laude, Master Degree MS, Computer Science, 110/110 cum laude at University of BolognaHigh School Degree, Scientific curricula, High School Degree, Scientific curricula at High School J.M. KeynesBachelor Degree, Computer Science, 107/110, Bachelor Degree, Computer Science, 107/110 at University of Ferrara
Italian, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
convolutional-neural-networks9
image-recognition9
supervised-learning9
tabs-management8
keras8
aws8
point-of-interest8
webextension6
chrome6
deep-learning6
typescript6
machine-learning6
chrome-extension6
firefox-addon6
python6
Programming languages (2)
Github contributions (5)
pietrocarbo/deep-transfer
Aug 2018 - Sep 2018
Contributions:34 commits, 6 pushes, 1 comment in 1 month
pietrocarbo/ensembled_convolutionalization
Nov 2017 - Apr 2018
Repository of the paper "Automatic point-of-interest image cropping via ensembled convolutionalization"
Contributions:209 commits, 2 pushes in 4 months
supervised-learningpythonimage-recognitiondeep-learningneural-networks
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