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.
Recent Posts
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Fast scoring of a RAG pipeline over Q&A baseline
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Stopwords in Weaviate
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Chunking will make or break your RAG!
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Who is Moliere mocking?
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Rewriting Moliere plays with chatGPT
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Intro to NLP, new course on Openclassrooms
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Best practices when sharing your data analysis - Jupyter Notebooks
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New statistical learning course on openclassroooms
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Teaching Data Science at UM6P
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Reduce GPU costs with startup scripts on the Google Cloud Engine
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iPhone addiction? Get a grip!
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Top gsutil command lines to get started on Google Cloud Storage
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AutoML on AWS
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Gsutil cheatsheet
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AWS Machine Learning Big Data NYC
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Workshop sur le Topic Modeling
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Writing Effective Amazon Machine Learning
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Large Data with Scikit-learn - Boston Meetup
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Paris Meetup slides Topic Modeling of Twitter Followers
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Hands-on analysis of the Amazon Machine Learning service
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Jupyter, Zeppelin, Beaker: The Rise of the Notebooks
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Dynamics of Debates with Time Maps
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NLP Analysis of the 2015 presidential candidate debates
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Scikit-learn's Out-of-Core Classifiers for Large Data
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Segmentation of Twitter Timelines via Topic Modeling
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Topic Modeling of Twitter Followers
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