Zahra MAAZIZ

Client : Total Energies Digital Factory Context: Participated in the AIOPS project, developing AI solutions to optimize IT operations using machine learning and data science for real-time problem identification and resolution. Responsibilities: • Developed cloud services to query Databricks, AWS, and Azure, integrating models from Azure ML SageMaker, Comet, databricks • Designed and architected web applications using Python and FastAPI. • Developed and optimized asynchronous HTTP requests using Python • Developed and consumed APIs to enhance application functionality, including defining the cost matrix for AWS and Azure consumption of tokens and plugins. • Created Git workflows for Azure Functions and automated the addition of new roles used by AI applications within TotalEnergies. • Built Single Page Applications (SPAs) using JavaScript, TypeScript, and React to visualize and manage AI models, ensuring smooth and intuitive interaction. • Developed specialized plugins for document management, including automatic summarization features. • Managed data migrations with Alembic. • Developed Azure Batch-Connector functions to retrieve and store data from the cloud. • Ensured code quality and adhered to best practices in security, authentication, and authorization. • Worked closely with cross-functional teams, including product managers, designers, and testers. • Effectively communicated technical concepts to non-technical stakeholders. Environment: Python / FastAPI, Pytest, Azure Databricks / ML, AWS Databricks / SageMaker / Comet/ bedrock, Wiz, Jira and Confluence, Terraform, Alembic, CI/CD, React, SQLAlchemy, RESTful APIs and GraphQL, SQL, Azure SQL Database, relational databases, serverless technologies, microservices architecture, BeautifulSoup, Pandas, HTTP Asynchronous libraries (e.g., Asyncio, HTTPX), DevOps, design patterns

Client Crédit Agricole Context : Cacib IMAD Project - Fraudulent Traders Detection is a team of 12 developers and 6 business analysts. Our goal was to develop scalable and efficient methods for large scale data analysis and model development to combat financial fraud. Responsibilities • Developed algorithms for fraud detection in trading, enhancing financial security. • Collaborated closely with business analysts to prepare ETLs and analyze market behaviors from the capital markets/finance domain, sent by the team in London, translating these insights into algorithms for model creation. • Participated in testing to define model hyperparameters and ensure optimal performance. • Analyzed production bugs, debugging and fixing issues to ensure high-quality code and performance. • Analyzed production bugs ,ensuring high-quality code and performance. • Updated the framework with new versions of Polars and Pandas to leverage the latest features and improvements. • Utilized asynchronous programming to improve the execution time of algorithms. • Designed and implemented ETLs for data processing. • Analyzed and cleaned data to ensure quality and accuracy. Automated deployment using GitLab CI/CD. • Increased code coverage through rigorous testing, ensuring robust and reliable code. • Wrote clean, maintainable, and well-documented code. • Supported fraud investigations with data analysis, reporting, and technical documentation. Environment: Python, Pytest, Pandas, Polars, NumPy, Jira and Confluence, GitLab CI/CD, SonarQube, Kubernetes, AirFlow, S3, Asynchronous Programming (e.g., Asyncio, HTTPX), ArgoCD , TDD, DevOps, design patterns

Client : Ministry of Interior Role : Web Developer Python AngularJS/Angular 5,7 /Scrum master Context : ANEF project The development program of the digital administration for foreigners in France (ANEF) aims to modernize the information system for immigration and asylum, as well as the information system for access to French citizenship. Responsibilities : • Ensured the development of a digital administration for foreigners in France (ANEF) using AngularJS and Angular 5/7. • Led unit tests and application development and performed code reviews. • Proposed simple optimizations and handled anomalies. Capacity management : • - Ticket management. • - Writing Jira. • - Documentation via Confluence. Environment : • - AngularJS. • - Angular 5/Angular 7. • - Karma and Protractor for testing. • - Python, for backend development framework Flask. • - Pytest. • - MongoDB for the database. • - Jira, Confluence. • - SonarQube

Client: CNFPT Role : Web Developer Angular 5 Context : Project: Agent Repository Team: 1 technical consultant, 3 developers, 1 tester Methodology: V-cycle Responsibilities : • Developed an Angular 5 application using TypeScript, HTML5, CSS3, and Bootstrap 4. • Contributed to the development of REST-Symfony 4 web services. • Managed tickets and wrote technical documentation using JIRA and Confluence. Environnement : • Angular 5, TypeScript • Bootstrap, HTML5, CSS3 • PHP,Symfony 4 • Oracle • GitLab • Jenkins