Freelancer profile translated to English.
Back to original languageAbout Jonathan
Data Scientist specialized in Data Science, Machine Learning, Deep Learning, and predictive modeling, with 6 years of engineering experience in industry (energy, automotive, aerospace).
I help companies leverage their data to create reliable predictive models, automate their processes, and monetize their data through artificial intelligence.
🔍 Data Science & AI Skills
• Data Science: data preparation, cleaning, and structuring (Python, Pandas, SQL)
• Machine Learning: classification, regression, clustering, model optimization
• Deep Learning: TensorFlow, Keras (CNN, RNN, sequential models)
• Data Analysis: statistics, signal processing, time series
• Data Visualization: Power BI, Plotly, Seaborn
• Automation & Light Data Engineering: Python pipelines, analysis scripts, data workflows
🧠 Business Expertise
Thanks to my experience in numerical simulation (ANSYS, MATLAB, Scilab), I quickly understand technical, industrial, and scientific issues, allowing me to propose robust data solutions adapted to business constraints.
📈 Data Science Projects Completed
• Deep learning model to predict the temperature of an industrial mixture → +30% production
• Classification of blood cell images → score 0.95
• Complete automation of preprocessing and analysis pipelines → reduced study time + reliable results
🛠️ Data Science Services
• Development of predictive models (ML & DL)
• Python automation and data pipelines
• Industrial data analysis and valorization
• Creation of dashboards and visualization tools
• Proof of Concept (POC) in Machine Learning / Deep Learning
• Support for AI or Data Science projects
Available for freelance missions in France or Europe.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Vernet GroupCalculation EngineerAUTOMOBILEMarch 2025 - August 2025 (5 months)Ollainville, FranceData Scientist applied to engineering, specializing in numerical modeling, data analysis, Machine Learning, and Python development.I worked on thermal and mechanical problems by combining numerical simulation, experimental data processing, and data pipeline automation.🔍 Data Science, Modeling, and Optimization Focused Missions• Experimental data analysis: cleaning, structuring, feature engineering, statistical exploration, validation of physical models• Numerical modeling (FEM): generation of simulated data, model calibration, comparison of simulation vs. reality• Python development: automation of calculation pipelines, analysis scripts (NumPy, Pandas, SciPy), automated post-processing• Data Visualization: creation of dashboards and graphs (Plotly, Seaborn) to guide technical decisions• Light Data Engineering: implementation of internal tools to ensure analysis reliability, reduce human errors, and accelerate workflows• Collaboration with R&D, quality, and production teams to transform data into operational recommendations📈 Notable Data Science ProjectDevelopment of a Deep Learning predictive model to estimate the temperature of a wax mixture based on its characteristics:Dataset constitution (experimental + simulation)Feature engineeringModel training and optimization (TensorFlow / Keras)Accuracy achieved: 85%, significantly higher than traditional methods🎯 Concrete Results• Material optimization on automotive and sanitary thermostats through cross-analysis of simulation + data and Python automation• Significant reduction in material usage• Savings of approximately €70,000 per order for the sanitary range• Accelerated and reliable analysis process thanks to developed data tools
- Vulcain Engineering GroupCalculation EngineerENERGY AND UTILITIESMarch 2023 - March 2025 (2 years)Neuilly-sur-Seine, FranceData Scientist applied to engineering, involved in industrial projects with high technical demands.Central role in the analysis, exploitation, and automation of data from numerical simulations (FEM) and physical tests.I contributed to the optimization of structures and processes by combining mechanical modeling, data analysis, and Python development.🔍 Data Science, Modeling, and Automation Focused Missions• Analysis of data from FEM simulations and tests: cleaning, extraction of indicators, model validation• Python automation: development of tools and pipelines (NumPy, Pandas, SciPy) to standardize workflows and reduce analysis times• Implementation of reproducible and documented analysis methods, reusable by technical teams• Data Visualization: structuring and visualization of results (Plotly, Seaborn) to facilitate understanding of mechanical phenomena• Presentation of analyses to project teams and clients, with simplification of complex results📈 Measurable Impact• Automation and optimization of analyses → 15 weeks reduction in manufacturing time for certain components• Direct contribution to material optimization and process improvement → approximately €300,000 in savings
- Ingeliance TechnologiesCalculation EngineerAVIATION AND AEROSPACEFebruary 2019 - March 2023 (4 years and 1 month)Montigny-le-Bretonneux, FranceData Scientist applied to engineering, responsible for complex mechanical studies and the exploitation of large volumes of data from numerical simulations (FEM).I contributed to the optimization of mechanical structures by combining advanced modeling, data analysis, Python automation, and data visualization.🔍 Data Science, Modeling, and Automation Focused Missions• FEM modeling and simulation generating large and complex technical datasets• Analysis of data from simulations: extraction of indicators, identification of critical areas, structure optimization• Python automation: scripts and pipelines (NumPy, Pandas, SciPy) to standardize post-processing and reduce analysis times• Data Visualization: creation of dashboards and graphs (Plotly, Seaborn) to facilitate decision-making• Writing technical reports based on quantitative analyses, highlighting KPIs• Participation in multidisciplinary projects (design, industrialization) to integrate data results into the development cycle.📈 Measurable Impact• Mass optimization: –15% on several mechanical parts through cross-analysis of simulation/data• Reduction in purchasing costs: –10% through material optimization and geometry rationalization• Weight reduction of a tank: –15%, validated by simulation and testing• Direct savings: ~€100,000 on the purchase cost of the optimized tank.
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Education
- Data Scientist BootcampMines School Datascientest2025Bootcamp Data Scientist
- Master 2 SciencesUniversity of Évry2018Master 2 Sciences