Freelancer profile translated to English.

Description

A graduate of the École Normale Supérieure and a data scientist for 5 years, my various experiences in research and in small companies have given me a comprehensive view of how data utilization can impact businesses.

My specializations:

- Data analysis through statistical modeling (when necessary),

- Identification and understanding of Key Performance Indicators (KPIs),

- Implementation of recommendation algorithms, from prototyping to industrialization,

- Exploitation of text data using Natural Language Processing (NLP) algorithms,

- Creation of data visualizations and dynamic tracking dashboards,

- Implementation and exploitation of experiments (including A/B tests).

Furthermore, my projects have also allowed me to develop skills in:

- Retrieving data from other websites through scraping,

- Data routing by creating ETL (Extract-Transform-Load) processes,

- Data project management, from requirements gathering to industrialization, including prototyping and testing.

Naturally very pedagogical, I am capable of providing training in various areas:

- Data structuring,

- Data cleaning and visualization,

- A/B testing

- Understanding machine learning algorithms,

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Evaneos
Lead Data Scientist
TRAVEL AND TOURISM
April 2016 - Today (10 years and 2 months)
Paris, France
My operational tasks mainly consist of:

- Implementing scoring and segmentation algorithms
- Implementing statistical analyses
- Creating data visualizations
- Creating data pipelines

In addition to this:
- Data project management, from requirements gathering to industrialization
- Coaching and upskilling data team members
Data science Python Statistics Machine learning ETL Project management Data visualisation
GuKen
Machine Learning Engineer
SPORTS
September 2015 - March 2016 (6 months)
Paris, France
Development of machine learning algorithms for motion recognition and tracking from sensor data.
Machine Learning C++ Python Arduino
Columbia University
Research Assistant
RESEARCH
December 2014 - September 2015 (9 months)
New York, United States
My research focused on studying the energy consumption of a portfolio of New York buildings. The objective was to automatically group buildings exhibiting similar consumption behaviors and then predict their medium-term needs.
Machine Learning Bayesian Modeling R