Alessandro Cerioni
Data Scientist
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolAlessandro Cerioni is a Data Scientist with over a decade of experience applying physics-grade rigor to real-world data problems, currently working for the État de Genève and the Swiss Territorial Data Lab. Trained with a PhD in Theoretical Physics and a specialized MSc in Computer Science from INSA‑Lyon, he moved from computational condensed-matter research into building and owning production open-data platforms and data products. At Métropole de Lyon he led the design and development of data.grandlyon.com, combining product ownership with hands-on data engineering and analytics on Hadoop-era architectures. His background includes high-performance scientific computing (BigDFT, FEAST) and algorithmic work on large non-Hermitian eigenproblems, which informs a pragmatic, performance-conscious approach to data pipelines and ML models. He focuses on Data Science, AI, Semantic Web/Linked Data, DevOps and open-source solutions, bridging research, software architecture and public-sector transparency. Colleagues describe him as a methodical problem-solver who turns complex mathematical techniques into reliable, production-grade data services.
11 years of coding experience
6 years of employment as a software developer
Mastère Spécialisé en Informatique, Computer Science, Mastère Spécialisé en Informatique, Computer Science at Institut national des Sciences appliquées de LyonUniversity of BolognaBachelor's degree, Telecommunications Engineering, 110/110 cum laude, Bachelor's degree, Telecommunications Engineering, 110/110 cum laude at Università Politecnica delle Marche
English, French, Italian
Github Skills (79)
monitoring9
reverse-geocoding9
dashboard9
python-scripts9
spatial9
geo9
spatial-data9
raster9
data-visualization8
object-detection8
elasticsearch8
grafana8
gis8
visualize8
geospatial8
Programming languages (9)
Github contributions (5)
swiss-territorial-data-lab/object-detector
Sep 2020 - Nov 2022
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
Contributions:4 releases, 6 reviews, 106 commits in 2 years 2 months
pythondetectron2task-idetend-userraster
swiss-territorial-data-lab/treedet-toolkit
Aug 2022 - Sep 2023
STDL Tree Detection Toolkit - a collection of scripts to assess tree detections, transform data, etc.
Contributions:2 reviews, 2 PRs, 3 pushes in 1 year
autoencoderorangedata-qualitytransformquantile
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