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Louis Jeay

Data scientist Computer vision engineer Senior

Can work in or around Barcelona

  • 41.400347
  • 2.159592
Propose a project The project will begin once you accept Louis's quote.
Propose a project The project will begin once you accept Louis's quote.

Location and workplace preferences

Barcelona, CT, España
Can work onsite in your office in
  • around Barcelona and 40km


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
Business sector
  • Aviation & Aerospace
  • Automobile
  • Biotech
  • Consulting & Audits
  • Civil Engineering
+44 autres


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Skills (17)

Louis in a few words

Engineer with expertise in datascience and computer vision,
working to make the world a better place. Interested in sustainable
development and agriculture, health sciences, EdTech & more.

I have worked in different start up environments, applying my skills for microcospical biology to agriculture, connected health, cardiovascular images, etc.

I have great pleasure to communicate with clients and experts about the needs and context of a project: for instance I used to collaborate with pathologists to build medical models.

As for data, I am used to work on various images kinds as 2D, 3D, 2D+T, whole slide images, ... but also on tabular datasets, sequences, etc.

I have worked with local and cloud CPU or GPU.

I have experience with Python, Tensorflow and Keras, AWS.

I handle simple and more complex datascience models such as random forests, SVM, KNN, reression, but also deep learning flavours as multi layer perceptron, convolutional models, LSTM, graph neural networks, ...

Looking forward to collaborating with you !


Keen Eye


Data scientist

Paris, France

September 2019 - July 2022 (2 years and 10 months)

Computer vision R&D and client projects in collaboration with pathologists. I work on various tasks such as classification, segmentation, object detection, on biomedical images with various modalities.
Deep Learning Computer Vision

Keen Eye

Data scientist intern

Paris, France

February 2019 - August 2019 (6 months)

Semantic segmentation of biological images.



Classification and sorting of cardiovascular MRI images

Paris, France

October 2018 - January 2019 (3 months)

MRI 2D+T image classification with deep learning to sort DICOM series into 16 classes. Interpretability gradient_based models. Achieved 96% accuracy.

Insight Centre For Data Analytics


Summer intern - Data Analytics

Co. Dublin, Ireland

July 2018 - September 2018 (2 months)


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