Freelancer profile translated to English.

Description

I am an expert in signal processing and artificial intelligence, with over 14 years of experience in the aerospace and defense industry.

I support leading industrial companies in the design of innovative products, from upstream research to production.

I work on complex systems (radars, satellites, IoT) to transform technical challenges into robust and efficient solutions.

My work covers three areas of expertise:

**Physical Models**: Feasibility studies, system modeling, system dimensioning and simulation.
**Signal Processing and Machine Learning**: Sensors (RF, acoustic, inertial), processing chains, advanced algorithms, predictive models (regression, classification, neural networks).
**Data and Cloud**: Data preparation and migration (ETL), data pipelines on Cloud environments (AWS, Azure, GCP), statistical analysis.

Industry field of expertise

Languages

German
Fluent
English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 30km)

Aldoria
Radar Expert
AVIATION AND AEROSPACE
February 2026 - April 2026 (2 months)
Paris, France
Preparation of a technical and strategic study for the design of a radar system for continuous space object tracking (SSA):
System dimensioning based on the requirements: antenna, power electronics, link budget, etc.
Development of specifications.
Strategic market analysis to assess the capabilities and limitations of players (system integrators and subcontractors).
Radar Modeling RF Dimensioning Python
Vorwerk
Data Scientist
INTERNET OF THINGS (IOT)
September 2025 - March 2026 (6 months)
Wuppertal, Germany
As part of the validation of a new Thermomix product:
Development of large-scale simulation data processing pipelines in the cloud (AWS, Databricks, SQL, PySpark).
Design of data analysis scripts to validate the safety of the new product (Jupyter, MLflow).
Python Databricks PySpark SQL MLflow
VICAT
Data Scientist
CIVIL ENGINEERING
January 2025 - August 2025 (7 months)
Lyon, France
As part of the automation of cement plants to increase global production by 5%:
Development of signal processing algorithms to clean signals from cement plant sensors (filtering, resampling, time alignment).
Design of predictive models (regressions, neural networks) to automate and optimize cement production.
Development of algorithms for early detection of motor failures (frequency filters, indicators, classifiers).
Supervision of a junior data engineer and a data science intern.
Python TensorFlow Deep Learning AWS Signal Processing

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PhD in Signal Processing
Université Paris-Saclay
2015
"MIMO Radar Processing Techniques for Anticipating and Compensating Real World Imperfections". En collaboration avec le laboratoire L2S (CentraleSupélec/CNRS/Université Paris-Sud).
Diplom-Ingenieur
Technische Universität München
2011
Technologies de l'Information et de la Communication

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Mathieu Cattenoz

Expert Sensors, Signal Processing, Data

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