Sep 2023 – Sep 2025

Amadeus

Nice, France

Data Scientist — SkyCAST (Data & ML Engineering)

• Built and maintained PySpark/Databricks pipelines on Azure feeding the SkyCAST airline-network planning platform, integrating T100 and MIDT passenger data into reusable datasets.
• Reimplemented a C# demand-forecasting component in PySpark and compared it with the original on identical inputs (reported difference ≈0.0005%).
• Integrated a Transformer-based demand model (QSI) and analysed factor contributions across 6+ scoring dimensions.
• Delivered documented calibration notebooks and Power BI dashboards for planning teams.

PySpark · Databricks · Azure · SQL · Power BI

Jan 2023 – Jul 2023

IneTech

DevOps Engineer

• Automated CI/CD and container deployments with Jenkins, Docker, Kubernetes and AWS EC2.

Jenkins · Docker · Kubernetes · AWS

2022

Laboratoire J.A. Dieudonné, Université Côte d’Azur

Research Intern — MSc Thesis

• Researched 3D volumetric biomedical image segmentation using a Gaussian mixture model and expectation maximisation.
• Systematically compared five segmentation methods and built a 3D visualisation workflow in ITK-SNAP and 3D Slicer.

Biomedical imaging · 3D segmentation · GMM / EM · ITK-SNAP · 3D Slicer

Sep 2018 – Oct 2020

Tristar Tech Edge Ltd.

Data Engineer

• Built and maintained Azure data pipelines for client reporting and analytics across infrastructure monitoring and business intelligence projects.
• Developed ETL and ELT workflows for databases, REST APIs, logs, and flat files, with data quality and schema validation at each stage.
• Used SQL, Python, and PySpark on Azure Databricks to prepare datasets and build data models for Power BI dashboards and operational reports.
• Automated recurring pipelines, data quality checks, and monitoring using Azure Data Factory triggers, Logic Apps, and Azure Functions.

Azure Data Factory · Azure Data Lake Storage · Databricks · Synapse Analytics · SQL · Power BI