Freelancer profile translated to English.
Back to original languageAbout Matthias
R&D Data Scientist with expertise in data analysis, modeling, and complex technical problem-solving.
I work on various projects ranging from data processing and exploitation to feasibility studies, modeling, or Python tool development.
Experience in research and engineering environments (signal, simulation, experimental data).
Objective: to provide robust solutions and directly usable results.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 20km)
Experience
- NASA Jet Propulsion LaboratoryScientific data analysis and signal processing, PythonAVIATION AND AEROSPACEMarch 2025 - July 2025 (4 months)Los Angeles, United StatesAnalysis and exploitation of seismic data from Apollo missions in a research context (IPGP / NASA JPL).Development of Python pipelines for processing noisy signals and reconstructing high-resolution data:- Selection and cleaning of highly noisy experimental data (artifacts, gaps, spikes).- Alignment and combination of signals (cross-correlation, normalization, SNR weighting).- Development of advanced reconstruction methods (spline interpolation, stacking, LP/SP spectral recombination).- Implementation and testing of machine learning models (CNN PyTorch) for resolution enhancement.Production of usable deliverables:- Python analysis and processing notebooks- Processed and structured datasets- Scientific visualizations and figures- Quantitative analyses (spectra, coherence, event detection)Result:Improved signal quality and temporal and frequency resolution, enabling better seismic wave detection and finer analysis of physical properties (attenuation, spectral content).
- ZephaltoModeling, simulation, and experimental analysis of materials, PythonAVIATION AND AEROSPACEApril 2024 - September 2024 (5 months)Toulouse, FranceStudy and characterization of envelope materials for reusable stratospheric balloons in an R&D context.Work at the interface between numerical simulation, experimental data processing, and mechanical validation:- Familiarization with and use of finite element calculation tools to model the behavior of envelope materials.- Development of Python programs to automate the extraction, processing, visualization, and analysis of simulation outputs.- Analysis of experimental datasets from mechanical tests on polymer films and composite materials.- Identification and fitting of material behavior laws from tensile, relaxation, cycling, and rupture tests.- Study of the influence of critical parameters such as tensile speed, viscosity, overlap, welding, and material reusability.- Comparison of different materials to support technical choices and safety margins.Deliverables produced:- Functional Python programs for data processing and exploitation- Structured experimental and simulated datasets- Analysis figures and visualizations- Scientific summaries for interpretation and technical decision supportResult:Improved understanding of the mechanical behavior of envelope materials, increased reliability of simulation/experiment analyses, and direct contribution to the design, validation, and operation of stratospheric balloon prototypes.
- Biodysseus / ISAE SupaéroMechanical design and fixing architecture of an underwater stationMECHANICAL ENGINEERINGOctober 2023 - June 2024 (8 months)Toulouse, FranceContribution to the design of a modular underwater station for extreme environment missions, as part of the Biodysseus project (Polar Explorer Station Alban Michon).Work focused on the design of the station's fixing and depth control system:- Estimation of order-of-magnitude mass, buoyancy, and mechanical forces.- Sizing of cables, ballast, and anchors required for depth maintenance.- Definition of a fixing architecture ensuring stability, safety, and ease of use.- Analysis of risk scenarios, including fixing failures, station ascent, and anchor drift.- Study of deployment and anchoring solutions adapted to different seabed types, including polar environments.Deliverables produced:- Detailed technical report- Scientific annexes and calculation notes- Sizing analyses and design recommendationsResult:Proposal of a realistic and well-supported fixing solution, compatible with the mechanical, operational, and safety constraints of a modular underwater base intended for an extreme environment.
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Education
- Normalien Diploma - Fundamental PhysicsÉcole normale supérieure Paris-Saclay2025Formation scientifique d’excellence axée sur la physique fondamentale et la modélisation. Acquisition de solides compétences en mathématiques appliquées, analyse de données et méthodes numériques. Approche rigoureuse de la résolution de problèmes complexes, avec applications en traitement de données scientifiques et modélisation physique.
- Engineering Diploma - Aerospace EngineeringISAE Supaéro2025Formation d’ingénieur spécialisée en systèmes aérospatiaux, modélisation et simulation. Compétences en mécanique, physique appliquée, traitement de données et développement Python. Expérience en projets techniques complexes, incluant analyse, dimensionnement et validation de systèmes en environnement réel.