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Hello 👋

I'm Jean-Claude, my role @SCOR Global Life involves a mix of Data Science Advocacy, Communication and Training working with a team mixing Data Scientists, Actuaries & Underwriting experts.

I also have experience in Non-Life (re)insurance and Quantitative Finance.

I am also member of "Club Algo" which is a working group within the French Institute of Actuaries, dedicated to Data Science and applications of ML/AI in insurance. Had the opportunity to present (in French) some work on Covid-19 (Covid Trends)

Current goals

  • 🔥   To continuously improve in Data Science, Modelling and Data Story telling.
  • 👉  Ultimately promote the Data Analytics field through coaching, training and building prototypes with best practices.

Some of my activities

Get in touch

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JeanClaudeR's Projects

6s083 icon 6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

covid19_trends_by_age icon covid19_trends_by_age

Dashboard of COVID-19 trends, by age groups. Worldwide data, sometimes with region scale, values of Deaths, Cases and Tests

d6tstack icon d6tstack

Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

dataviz icon dataviz

Data visualization guide for presentations, reports, and dashboards

dataviz_training icon dataviz_training

Code for training for Institut des Actuaires "Quel(s) outil(s) pour de la visualisation de données efficiente

delphi icon delphi

DELPHI: The Epidemiological model underlying COVIDAnalytics

general icon general

The official registry of general Julia packages

ipod icon ipod

A Corpus of 475,000 Industrial Occupations

learn4haskell icon learn4haskell

👩‍🏫 👨‍🏫 Learn Haskell basics in 4 pull requests

ml-readings icon ml-readings

A list of papers / videos / tutorials / blog posts on machine learning

ml-recipes icon ml-recipes

A collection of stand-alone Python machine learning recipes

ml101 icon ml101

intro to machine learning - reverse engineering phenomena

rustlings icon rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

sp17-materials icon sp17-materials

Publicly released assignments and materials for Data 100 Spring 17

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

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