Description

I am a former CTO and Senior Data Scientist & Engineer with 8 years of experience in Python programming.

Each company has its objectives, contraints and methods, and I've learned over the time how to adapt to their needs. I can help you with your data challenges, as well as any web development project, including devops and infrastructure considerations to build the product you want.

Having led technical teams for several years, I'll know how to collaborate with your team and make the best of our exchanges.

So, let's get shit done!

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
German
Conversational

Workplace preferences

Remote only

Primarily works remotely

Vezero
Cofounder & Fullstack developer
DIGITAL AND IT
February 2023 - Today (3 years and 4 months)
Paris, France
Vezero is a Paris-based development collective composed of three senior full-stack engineers and a designer. We specialize in building bespoke SaaS applications and providing software development services, with a strong emphasis on creating scalable, recurring-revenue products.
React.js Django Amazon Web Services (AWS) Terraform Python
Delteer SAS
Cofounder & CTO
VIDEO GAMES AND ANIMATION
January 2021 - January 2023 (2 years)
Paris, France
Delteer is a community tool for consumer brands to better monitor, engage and reward their most loyal community members. The company raised a 1,5M Pre-Seed round in July 2022.

I was in charge of designing and scaling Delteer’s technical stack and overseeing the technical team recruitment, workload and progression.
Amazon Web Services (AWS) Python Django Elasticsearch DynamoDB Docker Gitlab CI/CD Typescript React.js
Mazars SAS
Senior Data Scientist & Engineer
CONSULTING AND AUDITS
September 2018 - April 2021 (2 years and 7 months)
Paris & New York
- Cash flows prediction tool for a UK rent-to-own retailer

- Development of a new offer to measure & predict employees psychosocial risks based on HR data - In charge of deploying the solution for 2 clients

- Analytics project for a US Fragrance Leader: Implementation of a fragrance creation support tool involving processing of millions of fragrances user reviews

- Design & Implementation of a datalake handling high volume and frequency indexations - Scalable to TBs of data with no performances decrease
Python Flask Docker Elasticsearch Scikit-learn Pandas MongoDB Jinja2 Numpy MariaDB