Long story short, I am a Data Science consultant with 20+ years experience in data science & analytics, software engineering. Team lead, startups, author and teacher.

I am available for consulting on all aspects of data science including:

• Teaching: online, in class, mentoring, on all things data related
• Coaching: helping data teams build reliable workflows
• Predictive analytics and statistical inference: building bespoke models for specific applications
• Forecasting: from classic linear modeling, ARIMA, to non-stationnary time series.
• Natural Language Processing (NLP): extract information from large corpuses, analyze social networks and automate text generation with LLMs.
• Machine learning in the cloud: best MLOps practices and AutoML platforms from AWS and Google Cloud.

I am always happy to talk about your projects and ideas. So do get in touch for a conversation.

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Recent Posts

• Intro to NLP, new course on Openclassrooms

• Best practices when sharing your data analysis - Jupyter Notebooks

• New statistical learning course on openclassroooms

• Teaching Data Science at UM6P

• Reduce GPU costs with startup scripts on the Google Cloud Engine

• iPhone addiction? Get a grip!

• Top gsutil command lines to get started on Google Cloud Storage

• AutoML on AWS

• Gsutil cheatsheet

• AWS Machine Learning Big Data NYC

• Workshop sur le Topic Modeling

• Writing Effective Amazon Machine Learning

• Large Data with Scikit-learn - Boston Meetup

• Paris Meetup slides Topic Modeling of Twitter Followers

• Hands-on analysis of the Amazon Machine Learning service

• Jupyter, Zeppelin, Beaker: The Rise of the Notebooks

• Dynamics of Debates with Time Maps

• NLP Analysis of the 2015 presidential candidate debates

• Scikit-learn's Out-of-Core Classifiers for Large Data

• Segmentation of Twitter Timelines via Topic Modeling

• Topic Modeling of Twitter Followers

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