Pierre De Lacaze

Directed and managed the data science team and all machine learning projects. This includes, among other projects, developing predictive models for determining if a post is promoted and models for classifying social media content by product type. This work was mostly done in Python. Other development tasks involved designing and implementing a distributed version of Hierarchical Agglomerative Clustering in Clojure for clustering billions of users based on various similarity metrics. I was the Principal Architect and developer of the Audience Explorer product, (completely implemented in Clojure & ClojureScript) which allowed users to build custom audiences consisting of millions of social media engagers. Management responsibilities included writing up tasks and managing team members and tasks, managing code reviews and training sessions, weekly one on ones, creating quarterly road maps and making hiring decisions as well as organizing and leading the various <scrum rituals.