Continuing Education

2023


  • Online courses:
    • ChatGPT Prompt Engineering for Developers (deeplearning.ai)

2020


  • Online courses:
    • Go Fundamentals (tour.golang.org)

2019


2018


  • Projects:
    • Smart Contracts on the Ethereum blockchain (Angelhack/Consensys hackathon)
    • Smart Contracts on the Hyperledger blockchain (Datachain hackathon)
  • Online courses:
    • How to build Ethereum decentralized applications : Truffle – Ganache – Metamask -Web3 (dappuniversity.com)
    • Build a fully decentralized application with IPFS (dappuniversity.com)
    • Deploy Smart Contracts (1/2) : Remix – Ropsten Ethereum Network – Infura (dappuniversity.com)
    • Deploy Smart Contracts (2/2) : Geth – Rinkeby Ethereum Network – Truffle (dappuniversity.com)

2017


  • Online courses:
    • Javascript Basics (udacity.com)
    • Asynchronous Javascript Requests (XHR) (udacity.com)
    • VueJS (tutorialspoint.com)
    • Jenkins (tutorialspoint.com)
    • Ansible (tutorialspoint.com)
    • Redis (tutorialspoint.com)
    • Linux Architecture (tutorialspoint.com)

2016


  • Projects:
    • Hackathons: 3rd prize at Engie DataPower Hackathon (July 2016), Kaggle and Datascience.net projects
    • Web development: design and coding of a website featuring a personalized recommendation engine for cooking recipes (cuisine.nicolasguillaume.com), programmed in Python/Flask/Numpy/Scikit-Learn/NLTK
    • Design and realization (hardware and software) a smart power meter: detecting electrical devices plugged in on the local grid, and analyzing their usage patterns
  • Online courses:
    • Machine Learning (Stanford University – Coursera)
    • Exploratory Data Analysis with R (Udacity)
    • Foundations of Marketing Analytics (ESSEC Business School – Coursera)
    • Foundations of Strategic Business Analytics (ESSEC Business School – Coursera)
    • Digital Analytics Fundamentals (Google Analytics)
    • SQL (Stanford Online)
    • A/B Testing (Udacity)
    • Statistical Inference (Johns Hopkins University – Coursera)
    • Statistical Inference (Udacity)
    • Descriptive Statistics (Udacity)

2015


  • Project (4-month internship)
    • Predicting the demand of a bike sharing system with Machine Learning
  • Online course
    • Introduction to Data Science (Univ. of Washington – Coursera)

2014


  • Python (Codecademy)