Camille Keisser
Data Scientist
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolCamille Keisser is a data scientist with 5 years’ experience applying machine learning and optimization to sustainability challenges, currently building deep-learning solutions for satellite-based environmental monitoring at CLS Group. Trained at Imperial College London, École Polytechnique and HEC, she blends rigorous mathematical foundations with business-focused data science. Her background spans industry and research—from designing uncertainty-aware forecast scores and recommendation systems at Artefact to evolutionary multimodal optimizers for decarbonization at Accenta.ai. A polyglot who has lived across six countries, she brings strong cross-cultural communication and teaching experience, having trained career changers in Python, ML and data tooling. Camille also co-founded an NGO to promote environmental projects, underscoring her commitment to impact beyond pure technology. Notably, she pairs hands-on production experience with a track record of environmental-focused projects and a knack for translating complex models into actionable insights.
5 years of coding experience
4 years of employment as a software developer
Lycée Antoine de Saint-Exupéry de SantiagoBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Imperial College LondonLycée Condorcet Sydney - International French SchoolHigh School Diploma, Mathematics, 19.39/20, High School Diploma, Mathematics, 19.39/20 at Lycée Français Charles de Gaulle de LondresMaster of Science - MS, Data Science for Business X-HEC, Master of Science - MS, Data Science for Business X-HEC at HEC ParisMaster of Science - MS, Data Science for Business X-HEC, Master of Science - MS, Data Science for Business X-HEC at École PolytechniqueColegio Franco-Peruano
English, Spanish, French, Italian
Github Skills (8)
energy9
climate-science8
climate-change8
renewable-energy8
carbon-emissions8
sustainability8
python6
data-science5
Programming languages (1)
Github contributions (4)
ck2618/Methods-for-data-science
Sep 2021 - Oct 2021
Contributions:3 pushes in 1 day
ck2618/Audio_analytics
Nov 2021 - Nov 2021
Contributions:1 push, 1 branch in 1 day
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