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, 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)