Eduardo Blancas

Eduardo is interested in developing tools to deliver reliable Machine Learning products. Towards that end, he developed Ploomber, an open-source Python library for reproducible Data Science, first introduced at JupyterCon 2020. He holds an M.S in Data Science from Columbia University, where he took part in Computational Neuroscience research. He started his Data Science career in 2015 at the Center for Data Science and Public Policy at The University of Chicago.


Effective Testing for Machine Learning Projects

Thursday October 28 6:00 PM – Thursday October 28 6:30 PM in Talks II