Samuel Bini Email & Phone Number

Nice, Fr

Sophia-Antipolis

I worked for our client Orange Business where I joined a team in charge of Third Party Application Maintenance for several applications. In a B to B approach, we have to handle the monitoring and administration of approximately 600,000 network devices around the world. Thus, we have to deal with increasingly growing needs. Our role is therefore to maintain these applications responsible for collecting configuration, updating the provision of several tools for equipment administration while migrating the technological environment to more recent tools adapted to the requirement.Tasks : - Develop features for existing application - Take part of Third Party Application Maintenance (TPM)- Develop Proofs of ConceptTechnical environment: Python, JAVA, JavaScript, Quarkus, Ansible

Nice Et Périphérie

Accenture has several Labs working on different themes. I joined the R&D team in Artificial Intelligence which has 2 main streams that are Data Privacy and Federated Learning. My work concerned the Data Privacy stream and consisted in the analysis of anonymized data, the automatic detection of quasi-identifiers and the evaluation of the inference risk in a de-identification process of tabular data.Tasks : - State of the art in quasi-identifier detection techniques and inference risk- Research and analyze distances and similarity evaluation techniques- Benchmark of existing solutions- Develop Proofs of ConceptTechnical environment: Python, Scikit-Learn, PyTorch, Flask, ReactJS

Abidjan, Côte D’Ivoire

Côte d'Ivoire being a country with a high rate of farming population, we were working, within CID, on several projects putting technology at the service of several sectors including the agricultural sector. Thus, our objective was the analysis of the optimal conditions of growth in a simulated environment for the optimization of its yields in real conditions for tomato crops.Tasks:- Collect and process tabular and image data- Analyze the collected data- Develop a Machine Learning model for the analysis of environmental parameters- Develop a Deep Learning model to detect diseases from tomato plant imagesTechnical environment: Python, Scikit-Learn, Tensorflow, ReactJS, Flask

Abidjan, Côte D’Ivoire

Within the CID, we were working on a student project consisting in the realization of a Web application allowing to get access to an remote Linux operating system via a browser. The objective was to have a kind of virtualization of a Linux server on a Web application.Tasks : - Develop a Web application (Front-end and Back-end)- Configuration of Linux server- Configuration of HTTP and DNS serversTechnical environment: HTML, CSS, PHP, JavaScript, Linux

Abidjan, Côte D’Ivoire

In a team of five people, we worked on the implementation of a collaborative work platform including videoconferencing tools, a file repository, an agenda, .... This platform is a web application allowing access to different services via a user account affiliated to a team defined at the creation.Tasks: - Design a web application (backend architecture and microservices)- Develop a web application- Test the load of a Web applicationTechnical environment: NodeJS, ExpressJS, ReactJS, MySQL

This project consisted to develop and integrate a Machine Learning model to a video surveillance system. This system monitored by an interface is able to detect dangerous events and issue alerts.Tasks:- Develop a Deep Learning model- Deploy Deep Learning models on Raspberry Pi- Develop a desktop application

Abidjan, Côte D’Ivoire

As part of a policy to improve the company's services, I enabled the digitization of the subscription process for fire and miscellaneous risks insurance products within the Corporate Risks Department.Tasks :- Analyze the underwriting process and identify improvements to be made- Retrieve and organize data related to the subscription process- Design and deploy a relational database- Design, develop and deploy web applicationsTechnical environment: NodeJS, ExpressJS, ReactJS, MySQL, Adobe XD

Master Of Science - Ms, Big Data Intelligence For Human Augmented Reality

La formation est basée sur les axes suivants : - Cloud Programming - Distributed Big Data Management - Cybersecurity & Blockchain.

Master 1 (M1), Systèmes Informatiques, Génie Logiciel

Activities and Societies: Président du Comité d'Organisation de la Semaine De l'Innovation (SDI) 2ème Vice-Président du Conseil.

Licence, Systèmes, Réseaux Informatiques Et Télécommunications, Licence Générale

Activities and Societies: Président du Comité d'Organisation du Technovore Hackathon Secrétaire à la Communication du Conseil Estudiantin.