I work at the intersection of Data, Finance, and Operations to build pipelines and analytics that teams can actually use for daily decisions.
- Competitor price intelligence pipeline end-to-end: scraping, product matching, quality checks, and decision-ready outputs.
- Focus: robust data flow, useful business signals, and maintainable tooling.
| Project | What it shows | Stack |
|---|---|---|
| fraudstream-data-platform | Real-time fraud pipeline and orchestration design | Kafka, Airflow, dbt, AWS, MLflow |
| walmart-sales-forecast | Retail forecasting workflow from data prep to model outputs | Python, ML, Docker |
| getaround-eda-ml | EDA + ML project with reproducibility and experiment tracking | Python, FastAPI, MLflow |
| kayak-scrapping | Scraping + ETL workflow for structured downstream use | Python, ETL, AWS |
| conversion-rate-mlops | Conversion modeling with MLOps-oriented setup | Python, MLOps, Docker |
| nlp-spam-detector-api | NLP model served through API workflow | TensorFlow, FastAPI |
| Brainsight-Alzheimer-prediction-DeepLearning-CNN | CNN project for medical imaging classification | Python, CNN, MLflow |
| ansible-ubuntu-setup | Infrastructure hardening and automated server setup | Ansible, Linux, Docker |
- Senior Data Analyst, Decathlon (2024-Present)
- Business Controller and BI Project Manager, KPMG France (2019-2023)
- Business Controller and Data Analyst, H&H Group (2014-2018)
- 800+ hour Data Analytics, Data Science and Data Engineering program (Jedha)
- Currently pursuing CKA certification, continuous learner