Rapid Analytics
and Model Prototyping.

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Click here for the list of running RAMPs

Click here for data science themes Click here for data domains

Click here if you would like to use the platform for teaching


During the RAMP, the participants submit predictive solutions (code). The models are trained on our back-end. The scores are displayed on a leaderboard. In the open phase, all participants have access to all code, and they are encouraged to look at and to reuse each other's solutions. This accelerates the development process since good ideas spread fast.


During the RAMP we blend the best models, usually achieving a better score than the best submission. Since code is submitted, the blended prototype can be delivered to the organizer, ready to be inserted into a production pipeline, either as code or by exposing it through and API.

Learn from fellow data scientists

A great tool to learn data science! Since all code is open, novice participants can learn from the pros. RAMPs are used in the MS Big Data at Telecom ParisTech, in three UPSaclay M2 programs (Data Science, AIC, Data and Knowledge), in M1 at Polytechnique, and in various in courses beyond Saclay.

Be part of a growing community

RAMPs attract participants coming from different backgrounds and carreer stages who usually meet for the first time. They develop a working relationship in a relaxed environment, and sometimes keep working together after the event.

Contact us by email at admin@ramp.studio if you are interested in using the platform in your classroom, as an internal tool for prototyping in your data science team, or to launch a data challenge. Consider joining our slack team if you would like to be part of the growing community of rampers.

Paris-Saclay Center of Data Science

RAMPs are organized by the Paris Saclay Center for Data Science: A multi-disciplinary initiative to define, structure, and manage the data science ecosystem at the University Paris-Saclay.

What is a RAMP?

A RAMP is a collaborative data challenge. See here for more details.

Contact Us

Our office is located on the Orsay campus of the Paris-Saclay University, south-west of Paris.
The best way to contact us is to send us an email


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