Highlights:
* Seamless integration of hand-crafted rules with ML-build rules
* Intuitive, visual data/signal explorer: http://explicable.ai
* Implementation in Spark/Scala of treeinterpreter, currently used in production
* Participation to the FICO-Google Explainable Machine Learning Challenge
Location: Paris, France
Remote: open to it
Willing to relocate: for the right job, yes
Technologies: SHAP, RuleFit, Random Forest, Word2Vec, PCA, t-SNE, LSH, Scikit-Learn, Spark, Flink, Weka, Databricks, BigQuery, Hive, Postgres, MySQL, Oracle, AWS, Linux, Maven, Git, Java, Scala, Python, CAML, Elm, Javascript, Typescript, React, Spring, Primefaces, d3.js, Three.js
Résumé/CV: https://www.linkedin.com/in/benoitparis/
Github: https://github.com/benoitparis/
Email: benoit.paris.753@gmail.com
Blog: https://benoit.paris
Highlights:
* Seamless integration of hand-crafted rules with ML-build rules
* Intuitive, visual data/signal explorer: http://explicable.ai
* Implementation in Spark/Scala of treeinterpreter, currently used in production
* Participation to the FICO-Google Explainable Machine Learning Challenge
Location: Paris, France
Remote: open to it
Willing to relocate: for the right job, yes
Technologies: SHAP, RuleFit, Random Forest, Word2Vec, PCA, t-SNE, LSH, Scikit-Learn, Spark, Flink, Weka, Databricks, BigQuery, Hive, Postgres, MySQL, Oracle, AWS, Linux, Maven, Git, Java, Scala, Python, CAML, Elm, Javascript, Typescript, React, Spring, Primefaces, d3.js, Three.js
Résumé/CV: https://www.linkedin.com/in/benoitparis/
Github: https://github.com/benoitparis/
Email: benoit.paris.753@gmail.com
Blog: https://benoit.paris