Théo Da Silva

Part of the L'Oréal Global Analytic and Beauty Tech Team, I played a pivotal role in major projects, focusing on automatizing and optimizing analytical processes and enhancing cloud sustainability.

• Engineered an internal application for the automation of various analytics processes and asset creation

• Achieved an astounding 99% time reduction for analytical teams through the processes automated.

• Implemented ETL processes, crucial for updated of data.

• Introduced robust Unit and Functional Testing measures, underpinning application reliability.

• Instituted a CI/CD pipeline to ensure streamlined updates and deployments.

• Lead dev on the conception and development of data collector in Python, capturing monitoring metrics across all of L'Oréal's global cloud providers. This was crucial in predicting and analyzing energy consumption patterns, reinforcing the company's commitment to sustainability.

• Played an instrumental role in quantifying the energy footprint of cloud operations, providing actionable insights for sustainable energy use.

• Key accomplishment: - Average of 99.9% time reduction for the analytical teams on the processes automated (from months to hours)

I worked on the creation of the ERP system in Python for DI Environnement, world leader in asbestos removal.

This system has since been incorporated as an essential tool for the company's day-to-day operations.

• Creation of Python modules

• Developed a robust RESTful API infrastructure with over 100 endpoints.

• Managed and maintained server operations on Debian 9

• Instituted Unit and Functional Testing protocols, ensuring seamless operation and reliability of the developed applications.

• Continuously enhanced performance through code and SQL query optimization.

• Supervised and mentored an intern, providing guidance and oversight for project deliverables.

• Key accomplishment: Achieved a breakthrough in efficiency by slashing the runtime of the saving algorithm by an average of 94.1%.

After students completed an intensive 6-month foundational course in programming at the Coding Academy by Epitech, they were presented with the option to pursue a 2-month specialized program. I was given the responsibility to both develop and deliver a comprehensive "Data/AI" program. This curriculum covered essential areas including Python, Data Analysis, ETL, Machine Learning (ML), and Natural Language Processing (NLP).

• Comprehensive design and structuring of the "Data/AI" specialization program.

• Delivering lectures and facilitating active learning sessions.

• Assessed student performance through various evaluations and project submissions. Provided timely and constructive feedback, ensuring students effectively internalized intricate concepts and were well-equipped for professional challenges.

• Key accomplishment: Successfully mentored and guided two students, who had never attended college, to secure their dream jobs in a startup.