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Louis CassedanneLC

Louis Cassedanne

Tech Lead - Fullstack developer

750 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Louis

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!
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Allemand

    Capacité professionnelle limitée

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Vezero
    Cofounder & Fullstack developer
    AGENCE & SSII
    février 2023 - Aujourd'hui (3 ans et 4 mois)
    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
    JEUX VIDÉO & ANIMATION
    janvier 2021 - janvier 2023 (2 ans)
    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
    CONSEIL & AUDIT
    septembre 2018 - avril 2021 (2 ans et 7 mois)
    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

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Formations

  • Master of Science in Management
    ESSEC Business School
    2018
  • Master in Computer Science
    Ecole Centrale Paris
    2018

Compétences

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