Freelancer profile translated to English.

Description

Graduate of ENSAI, ENSAE, and the Master's in Mathematics, Visualization, and Learning (MVA).

My time in the MVA program, alongside my studies at ENSAE, allowed me to complete numerous projects in Deep Learning, Reinforcement Learning, NLP, and convex optimization. This was approached with a broad perspective due to my initial training in Machine Learning received at ENSAI.

I was able to apply this expertise at INSEE on a satellite image segmentation project. I have three years of experience in the statistical methods department at INSEE. Previously an expert in sampling methods, I am currently an expert in spatial analysis and data anonymization methods at INSEE.

At INSEE, I also processed and enhanced numerous structured datasets, collaborated on many technical projects with experts and non-experts, such as the georeferencing of fiscal data and the gridding of population census data, as well as the protection of disseminated data.

I am passionate about the theory behind Machine Learning algorithms and the wide variety of their applications in different fields. I greatly enjoy communicating the results of my work in a didactic manner through visualizations.

I would be happy to discuss new challenges with you, please do not hesitate to contact me!

Languages

French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Insee
Head of Spatial Analysis and Confidentiality Section
CONSULTING AND AUDITS
September 2020 - Today (5 years and 9 months)
INSEE
- Semantic segmentation on satellite data using convolutional neural networks

- Project management for the redesign of the georeferencing of the Fideli fiscal data source

- Participation in the Working Group on the gridding of the Population Census

- Responsible for setting up secrecy masks for thematic business surveys

- Expertise in cartographic representation tools and geometric calculation tools

- Participation in European working groups on spatial analysis and confidentiality
Project Management Deep Learning Statistics Confidentiality Team Management Python
WeStat
Data Science Internship
CONSULTING AND AUDITS
June 2019 - October 2019 (4 months)
Rockville, United States
- Alternative estimation methods for the number of rare fish caught by recreational fishing in the United States (small domains)

- Work on imbalanced databases

- Implementation of the EM algorithm for a "Zero inflated Poisson Model" (ZIP)
Algorithms python Data visualisation Data science
INSEE
Head of Household Survey Sample Selection
CONSULTING AND AUDITS
September 2017 - September 2018 (1 year)
Malakoff, France
- Sample selection for major household surveys, considerations on sampling plans

- Member of the Nautile project, redesign of the Master Sample for household surveys

- Optimization of R code for large-scale simulations
sampling methods Project Management Teamwork R Python Simulation