Arnaud Campeas
Developer-Maintainer Of The Time Series Refinery Responsable Data Front - Data Science
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolArnaud Campeas is a developer-maintainer and data lead with 17 years of experience translating scientific rigor into production-grade time series and trading systems. Trained as an agronomist and PhD modeler, he moved from bio-statistics and aquaculture research to become an IT quant, specializing in Python, R and Postgres-powered data platforms. At Pythonian he designs the Time Series Refinery and leads data-front and data-science efforts, while previously building trading analytics, backtesting and ML workflows for Engie. He combines hands-on engineering, algorithmic modeling and developer coaching to elevate testing and deployment practices across teams. Based in Paris, he favors open-source tooling and pragmatic, auditable solutions that bridge research-grade models with operational systems. An uncommon strength is his ability to repurpose ecological and growth-modeling expertise into robust quantitative features for financial and industrial data pipelines.
17 years of coding experience
Thèse de doctorat, Modeling, Virtual Environments and Simulation, Thèse de doctorat, Modeling, Virtual Environments and Simulation at Université Henri Poincaré, Nancy 1Ingénieur agronome, Bio-statistiques, Ingénieur agronome, Bio-statistiques at Montpellier SupAgro
English
Github Skills (103)
python10
data-manipulation10
charting10
google-sheets10
no-javascript10
excel10
linter10
flask10
static-analysis10
xlwings10
dataframes10
pandas10
gunicorn10
pooling10
plotly10
Programming languages (2)
Github contributions (5)
gurneyalex/cubicweb
Dec 2008 - Mar 2016
Contributions:1013 commits in 7 years 4 months
pythonianfr/tshistory_refinery
Dec 2022 - Jan 2025
Contributions:9 pushes, 4 branches, 20 comments in 2 years 1 month
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