- Montréal 2019
Is your online service live and starting to generate traffic, but you still have a backlog of things to do and are lacking the right context to prioritize them? What if you could create profiles based on user behavior? In this presentation, we will explore the user data required to extract insight and create profiles. After introducing the python work environment, we will present techniques of data exploration, including clustering.
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Now working at mnubo, Montreal, as a Senior IoT data scientist, my main mission is to extract value from customers'data using data science. I have a PhD in computer science and applied maths from university of Grenoble Alpes, Grenoble, France (2016), where I worked on sensor data from smartphones so as to recognize the ambient scene. Then I did a post-doc in NLP on paragraphs labeling.