Amine Samoudi
Brussels,BRU
Summary
Data Scientist & Technical Operations Specialist (PhD) bridging the gap between advanced numerical simulation and frontline manufacturing operations. Combines 7 years of academic rigor in optimization and modeling with 3 years of hands-on technical experience in automated production environments (Unilin, AGP). Recently focused on data science (BeCode Bootcamp) and End-to-End MLOps (Python, SQL, Docker) to apply predictive analytics to real-world industrial challenges. A resilient problem-solver who understands both the theoretical algorithms and the operational reality of the factory floor.
Overview
12
12
years of professional experience
1
1
Certification
Work History
Process Monitoring & Production Associate
AGP Europe
01.2024 - 12.2024
- Operated a multi-machine CNC line for high-standard glass production, managing operational data logs and enforcing strict quality control protocols to minimize defects.
Automated Production & Quality Control Associate
Unilin
04.2021 - 12.2023
- Managed the operation of high-volume CNC-based automated systems (HOMAG), performing real-time parameter adjustments to ensure strict tolerance adherence and maximize Overall Equipment Effectiveness (OEE)
PhD Researcher
Ghent University
02.2013 - 12.2019
- High-Fidelity Simulation: Developed complex numerical models (FEM/FDTD) to simulate electromagnetic field interactions, optimizing design parameters for high-precision devices.
- Data Validation: Validated numerical models against real-world clinical datasets (Vienna UT), ensuring statistical accuracy between simulation predictions and physical measurements.
- Project Leadership: Led a team of 10+ Master students and collaborated with international partners (IMEC), delivering results for EU-funded grants.
- Technical Output: Published 10+ peer-reviewed papers and a dissertation on electromagnetic optimization; developed scripts (MATLAB/Python) for automated data processing.
Education
AI & Data Science Bootcamp
BeCode
Ghent04-2026
PhD in Electrical Engineering
Ghent University
Ghent01-2018
Computer Science & Network Engineering
INPT
Morocco12-2012
Skills
- Data Science & AI: Python (Pandas, NumPy, Scikit-learn), SQL, Machine Learning, Data Visualization
- MLOps & Deployment: Docker, FastAPI, Streamlit, Scrapy, Git/GitHub, Cloud Basics
- Engineering & Simulation: Finite Element Method (FEM), FDTD, MATLAB, Process Optimization, Technical Troubleshooting
Accomplishments
Immo-Eliza: End-to-End Real Estate MLOps System
A production-grade Machine Learning system predicting Belgian real estate prices. (Live: immo-eliza.be)
- Data Engineering: Built a robust scraping pipeline (Scrapy/Playwright) to harvest and clean real-estate data, implementing geo-enrichment and automated outlier removal.
- Advanced Modeling: Developed specialized XGBoost/CatBoost models for Houses & Apartments, utilizing GPU-accelerated Optuna for hyperparameter tuning.
- Full-Stack Deployment: Architected a dual-deployment solution with a FastAPI backend for inference and a Streamlit frontend for user interaction, containerized via Docker.
Certification
- Data Analyst Associate — DataCamp: February 2024
- Data Scientist Associate— DataCamp: April 2024
LANGUAGES
English
French
Dutch
Timeline
Process Monitoring & Production Associate
AGP Europe
01.2024 - 12.2024
Automated Production & Quality Control Associate
Unilin
04.2021 - 12.2023
PhD Researcher
Ghent University
02.2013 - 12.2019
AI & Data Science Bootcamp
BeCode
PhD in Electrical Engineering
Ghent University
Computer Science & Network Engineering
INPT