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Machine learning engineer, specialized in Explainable AI / ML

Recent Highlights:

* Implementation in Spark/Scala of treeinterpreter, currently used in production

* Participation to the FICO-Google Explainable Machine Learning Challenge

* Intuitive, visual data/signal explorer (work in progress, partial view at http://explicable.ml (the 3D background view))

Location: Paris, France

Remote: yes

Willing to relocate: for the right job, yes

Technologies: SHAP, RuleFit, Random Forest, Word2Vec, PCA, t-SNE, LSH, ROC, Scikit-Learn, Spark, Weka, Databricks, BigQuery, Hive, Postgres, MySQL, Oracle, AWS, Linux, Maven, Git, Java, Scala, Python, CAML, Elm, Javascript, Spring, Primefaces, d3.js

Résumé/CV: https://www.linkedin.com/in/benoitparis/

Github: https://github.com/benoitparis/

Email: benoit@explicable.ml






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