Freelancer profile translated to English.
Back to original languageAbout Ismail
I have 8 years of experience in various projects related to Marketing and Risk Management in sectors such as Banking, Insurance, and Retail. Passionate about solving business problems using data, my goal is to join a multidisciplinary team where I can contribute all my skills and learn as much as possible.
Furthermore, I am looking for an environment where industrialization processes and tools (DevOps/MLOps) that bring data products from the lab to real life are as important as machine learning, AI, data visualization techniques, etc.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- ESNConsultant Data & ML EngineerCONSULTING AND AUDITSSeptember 2023 - Today (2 years and 11 months)Paris, FranceMission 1: Consultant Data & ML Engineer · BOURSOBANK
- Design of an end-to-end MLOps platform for transactional fraud detection
- Architecture: ingestion via Apache Airflow, storage ADLS, processing
- Processing of large-scale data on HDFS then migration to Azure Data Lake
- Databricks, MLflow, Azure ML deployment
- Development of PySpark pipelines for ingestion, transformation, and feature engineering
- Implementation of quality rules, anonymization, and data structuring
Hyperparameter tuning and calibration of business thresholds (recall / alert rate)- Development of optimized fraud models (LightGBM, XGBoost)
- Management of the model lifecycle with MLflow (tracking, registry, versioning)
- Deployment via Azure ML Managed Endpoints with blue/green & canary strategies
- Implementation of comprehensive monitoring: drift (PSI, KS), data quality, and model performance
- Automation of CI/CD workflows with Azure DevOps
Mission 2: Consultant Data & Ops Engineer · Streem Group- Design and implementation of a hybrid data platform (on-premise + Azure) for data centralization, transformation, and distribution across the group
- Development of data pipelines (ingestion, transformation, exposure) in Python and SQL
- Orchestration of flows with Dagster (dependency management, retry, monitoring, assets)
- Implementation of a trunk-based development workflow with peer review and CI/CD
- Containerization with Docker to ensure portability and reproducibility
- Industrialization of infrastructure via Terraform (automated Azure provisioning)
- Integration with Power BI for data reporting
- Implementation of CI/CD with GitHub Actions (tests, quality, deployment)
- Structuring of a modular architecture based on several components: ingestion, transformation, orchestration, BI exposure
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Education
- Master in statistical and stochastic modelingUniversity of Bordeaux2015