Leading a team of over 20 Data Engineers in Paris, Modeo specializes in building and deploying Modern Data Platforms that enable businesses to fully leverage their data potential. Modeo has established itself as a leader in creating customized solutions for companies ranging from growing SMEs to well-established large enterprises.Key Achievements:- Innovative Solution Design: Developed comprehensive and modular data platforms incorporating cutting-edge technologies, including cloud solutions like GCP and AWS, storage options such as Snowflake, and orchestration tools like Airflow.- Measurable Impact: Projects are designed to deliver tangible ROI with clearly defined KPIs, enhancing operational efficiency and data process reliability for our clients.- Human-Centric Approach: A culture where technology serves the end user has been fostered, ensuring smooth and effective adoption of solutions by involving business teams early in the design phase, thus empowering users to be more autonomous and efficient.- Strategic Partnerships: Collaborated with companies across various sectors, including luxury, hospitality, retail, and logistics, providing tailored solutions that address specific industry needs while minimizing the typical data project frictions.- Continuous Innovation: Proactively staying at the forefront of technological innovation by integrating advanced tools for data transformation and activation, such as DBT, Looker, and Kafka, ensuring scalable and high-performance solutions.- Through these initiatives, Modeo has become a trusted partner for businesses seeking to transform their data management into a competitive advantage. The strategic vision has been to guide this transformation while fostering a collaborative and excellence-driven work environment.

• Introduction to Data Governance: Covering key components like data quality, metadata management, data privacy, and data architecture.• Technical Perspective: Understanding data architecture, data models, and data cataloging.• Legal Aspects: Overview of data compliance, privacy, ethics, and legal considerations, including GDPR.• ESG (Environmental, Social, and Governance): Exploring data governance's role in sustainable and responsible business practices.• Business Considerations: Role of data governance in strategy formulation, operational efficiency, and financial aspects.• Security: Addressing data access, encryption, handling sensitive data, and preventing data breaches.• Red Thread Project: Guiding students through a hands-on project to apply course principles to create data models for specific business needs.

Pronoo! développe des algorithmes d'intelligence artificielle pour prédire les résultats sportifs. (Au futur 40 de Station F et élue startup du mois AWS).

As part of the chair between the École Polytechnique and Capgemini, I participated in a Hackathon over several weeks for the Direction Générale du Numérique. The purpose of this hackathon was to implement solutions using blockchain on HyperLedger. My team accumulated the most points in all categories combined.

During my internship at Capgemini, I was able to develop a reinforcement learning algorithm for the AWS Deep Racer League. This algorithm allowed us to win the French edition of the competition and I am currently working on a new algorithm for the world final that will take place in Las Vegas in December 2019.

GarageISEP is ISEP's very own innovation hub! In just one year it has grown from 4 founding members to 36 administrative members, impacting almost 1000+ students each year throughout hackathons, workshops, projects, and conferences. The structure is made of 5 Labs covering leading innovative technologies in AI, Robotics, Augmented & Virtual reality, Block-chain, Cyber-security, and Advance Algorithmic. The structure has established partnerships with major sector leaders such as IBM, Amazon, Capgemini, BearingPoint, Thalès, IEEE and more!During my role as President of IALAB I carried out the following tasks:- Creation of the AI lab of the association from scratch- Creation of online courses on machine learning (videos, cheat sheet...)- Project management (autonomous car, football player price prediction...)- Management of a team of 5 people- Organization of workshops (scrapping, deep learning)- Organization of a hackathon with more than 200 people, sponsored by AWS- Administrating weekly meetings & goals setting- Promotion of GarageISEP at Vivatech (Paris)- Promotion of AI development within the school