Aubert Sigouin-lebel
App Developement Data Analyst
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolAubert Sigouin-lebel is an App Development Data Analyst based in Montreal with nine years of experience turning labor-market and survey data into actionable insights for Quebec’s IT sector. He combines practical software skills (Python, JavaScript, SQL, Debian, Git, HTML/CSS) with a strong background in predictive workforce analytics, machine learning prototyping, and data visualization. At Pixonality he leads research projects and consults on tech labour trends, building on prior roles at TECHNOCompétences and Léger where he automated survey coding and developed analytic pipelines for major public and private clients. He also advised Dawson College on establishing AI excellence in education, reflecting a rare mix of technical depth and policy-facing experience. Trained at MILA and MIT in deep learning and big data, he pairs a humanities foundation in philosophy and international law with practical open-source advocacy and a taste for data journalism.
9 years of coding experience
Professionnal certificate, Big Data and Social Analytics (BDA), Professionnal certificate, Big Data and Social Analytics (BDA) at Massachusetts Institute of TechnologyMontreal Institute for Learning Algorithms (MILA), École d'été en apprentissage profond, Montreal Institute for Learning Algorithms (MILA), École d'été en apprentissage profond at Université de MontréalMaîtrise, Relations internationales et droit international, Maîtrise, Relations internationales et droit international at Université du Québec à Montréal
French, English
Github Skills (10)
python4
api3
fastapi3
machine-learning3
rest-api3
api-framework3
docker2
scalable2
deep-learning2
mlops1
Programming languages (1)
Github contributions (5)
aubertsigouin/data-science-for-social-studies
Apr 2017 - Sep 2017
Contributions:18 commits, 17 pushes, 1 branch in 5 months
aubertsigouin/dsviz
Sep 2018 - Feb 2019
Contributions:28 pushes, 1 branch in 4 months
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