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
Fast scoring of a RAG pipeline over Q&A baseline
Stopwords in Weaviate
Chunking will make or break your RAG!
Who is Moliere mocking?
Rewriting Moliere plays with chatGPT
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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