I’m a Data/AI Engineer based in Marseille, with experience turning messy real-world data into reliable structures for analytics and machine learning. I’ve worked on end-to-end pipelines including data collection, cleaning, preprocessing, and structuring, then moved into model development and production deployment in cloud environments. In my recent role, I designed and tested AWS-based machine learning solutions for risk assessment and freight control, built daily vessel/port terminal reporting systems, and integrated an XGBoost prediction model to support operational decision-making. I’m also comfortable bridging business needs and technical execution through requirements gathering, planning systems support, and building data-driven improvements for manufacturing and supply-chain contexts.

Youcef Nafi

I’m a Data/AI Engineer based in Marseille, with experience turning messy real-world data into reliable structures for analytics and machine learning. I’ve worked on end-to-end pipelines including data collection, cleaning, preprocessing, and structuring, then moved into model development and production deployment in cloud environments. In my recent role, I designed and tested AWS-based machine learning solutions for risk assessment and freight control, built daily vessel/port terminal reporting systems, and integrated an XGBoost prediction model to support operational decision-making. I’m also comfortable bridging business needs and technical execution through requirements gathering, planning systems support, and building data-driven improvements for manufacturing and supply-chain contexts.

Available to hire

I’m a Data/AI Engineer based in Marseille, with experience turning messy real-world data into reliable structures for analytics and machine learning. I’ve worked on end-to-end pipelines including data collection, cleaning, preprocessing, and structuring, then moved into model development and production deployment in cloud environments.

In my recent role, I designed and tested AWS-based machine learning solutions for risk assessment and freight control, built daily vessel/port terminal reporting systems, and integrated an XGBoost prediction model to support operational decision-making. I’m also comfortable bridging business needs and technical execution through requirements gathering, planning systems support, and building data-driven improvements for manufacturing and supply-chain contexts.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Work Experience

Data and Innovation Engineer at NAFI Data/ AI Engineer
April 1, 2021 - January 31, 2025
Owned the full lifecycle of data for operational use cases: data collection, preprocessing, cleaning, and structuring. Developed, tested, and rolled out AWS-based machine learning solutions using NLP for risk assessment and freight control, and automated daily reporting (mailing) for vessel status across port terminals. Integrated an XGBoost model to predict outcomes in port terminal operations, supporting production/operational decision-making.
Data and Innovation Engineer at NAFI (nafi Data/AI E ngineer) / NAFI
April 1, 2021 - January 31, 2025
Collected, preprocessed, cleaned, and structured operational data, then developed, tested, and rolled out ML/NLP solutions for risk assessment and freight control. Implemented a daily automated reporting (mailing) process for vessel status in port terminals. Integrated an XGBoost machine learning model to support prediction in port-terminal operations. Worked across the full lifecycle: data preparation, modeling, validation, deployment, and operational reporting.
Production planning consultant at B-Hive
January 1, 2020 - May 31, 2020
Supported master production schedule follow-up and worked on inventory and replenishment management to keep production planning aligned with demand and stock levels.
Project Manager Assistant at Delpharm (Bayer CDMO)
May 1, 2019 - October 31, 2019
Assisted in implementing an Advanced Planning and Scheduling (APS) system by mapping physical and informational flows of the planning process. Collected and updated core master/data inputs such as routings, inter-operation times, and MRP calculation parameters. Gathered and specified scheduling constraints and requirements, including APS/ERP integration mode, APS functionality choices, scheduling criteria, and KPIs.

Education

Master 2 Advanced methods of Industrial Engineering at Higher Institut of Computer Modeling and Applications (Clermont-Ferrand)
October 1, 2018 - October 1, 2019
Master 2 Computer Science at Université Aix-Marseille (Marseille)
October 1, 2020 - September 1, 2021
Master 2 Computer Science at Université Aix-Marseille
October 1, 2020 - September 30, 2021
Master 2 Advanced methods of Industrial Engineering at Higher Institut e of Computer Modeling and Applications Clermont-Ferrand
October 1, 2018 - October 1, 2019

Qualifications

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Industry Experience

Transportation & Logistics, Manufacturing, Professional Services, Software & Internet, Education