Christophe Hoël
Data Analytics And Data Engineering
Bulle, Fribourg, Switzerland
Summary
👤
Senior🎓
Top SchoolChristophe Hoël is a data engineering and analytics professional with 8 years of experience applying machine learning and time-series engineering to combustion engines and industrial systems. At Liebherr he built end-to-end ETL pipelines and a reusable Python LSTM-VAE class for anomaly detection, pairing production-grade data engineering (Elastic, SQL, BI) with deep learning (PyTorch, TensorFlow). Trained as an engineer in vehicle and energy systems and holding a summa cum laude Master in AI, he uniquely blends domain expertise in diesel engine calibration with modern ML practices. He thrives on practical projects that deliver visible value to end users and prefers collaborative, values-driven teams where technical rigor meets customer delight. Notably, his background in engine calibration informs robust feature engineering and realistic evaluation strategies for predictive maintenance models.
8 years of coding experience
18 years of employment as a software developer
ingénieur, véhicule et systèmes énergétiques, ingénieur, véhicule et systèmes énergétiques at Polytech OrléansCAS Machine learning, Applied Data Science, CAS Machine learning, Applied Data Science at Ecole polytechnique fédérale de LausanneMaster in Artificial Intelligence, Intelligence artificielle, average score : 5,74/6 (summa cum laude), Master in Artificial Intelligence, Intelligence artificielle, average score : 5,74/6 (summa cum laude) at UniDistance and IDIAP research center
French, Italian, English, German
Github Skills (14)
tensorflow-hub4
tensorflow2
machine-learning2
macos2
classification2
deep-learning2
python2
keras2
pytorch2
tvm1
compiler1
transfer-learning1
plaidml1
image-classification1
Programming languages (4)
Github contributions (5)
adhoc2/HEXplorer_qt5
Apr 2019 - Oct 2019
Contributions:14 releases, 41 commits, 121 pushes in 6 months
M05-mini-project/swissroads
Sep 2020 - Oct 2020
This master project is about demonstrating learning transfer from tensorflow hub for image classification.
Contributions:5 releases, 26 PRs, 69 pushes in 20 days
pythondeep-learningtransfer-learningtensorflow-hubmaster
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