Freelancer profile translated to English.
Back to original languageAbout Taha Yassine
🎯 Industrial and Financial Performance Engineer | Data Science | Digital Transformation | Industry 4.0 | Quantitative Studies
General Engineer from Mines with triple degrees from two engineering schools, possessing diverse and solid technical and managerial skills in the following areas:
• Energy and Processes (Operational Excellence, R&D, dimensioning...)
• Data & Industry 4.0 (Analysis, Statistics, Machine Learning and Modeling, Design of Experiments, Digital Twins, Reduced Order Models for Simulation + M.L...)
• Financial Markets (Quantitative Analysis, Market Microstructure, HFT/MFT, Orderflow Strategies on Tick Data, Order Management...)
📈 What I bring to your team:
• Proven ability to analyze complex industrial data and translate it into actionable insights
• Hands-on experience with digital tools (MES, IoT, Power BI, Python) to optimize process efficiency
• Expertise in deploying Industry 4.0 solutions and integrating AI/ML into industrial environments
• Experience in quantitative research and machine learning applied to financial market modeling and strategy development
• Strong foundation in time series analysis and algorithmic trading concepts
• Excellent project management and cross-functional collaboration skills
Open to various roles and industries, I am currently seeking freelance opportunities and am mobile throughout Europe.
✅ I combine technical expertise with strategic thinking to create value across all sectors. Whether you are recruiting for industrial performance, financial data science, or digital innovation, I am ready to contribute with impact.
English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km), Bordeaux (up to 50km), Lille (up to 50km), Lyon (up to 50km), Marseille (up to 50km)
Experience
- Saint-GobainSenior Data Scientist For Industry 4.0RAW MATERIALS INDUSTRYFebruary 2022 - Today (4 years and 4 months)Avignon, France
- Creation of digital twins on AZURE services (ADX, ML, DT...) for various processes (electric arc furnace...), to optimize energy performance, quality, and CO2 emissions.
- Statistical analysis and ML models on manufacturing defects and interpretability of influencing factors.
- Predictions/estimations of non-measurable parameters on the production line (temperature > 2000 °C, etc.) by combining physical equations and data-driven approaches.
- Statistical process control and assistance in continuous improvement of "black belt" for production lines and quality control using JMP software.
- Optimization of experimental designs using Machine Learning (Smart Testing)
- Winner of the Saint-Gobain Digital & Innovation Awards 2024.
- ARCBAEnergy and Fluids Project EngineerPUBLIC SECTORJanuary 2021 - February 2022 (1 year and 1 month)Compiègne, France• Management of energy purchase contracts for the City of Compiègne and the ARC• Management of operation and maintenance contracts for over 50 municipal buildings and swimming pools (P1/P2/P3 heating)• Monitoring of energy efficiency works for the heritage and district heating network within the framework of DALKIA and ENGIE concessions• Deployment of connectivity and remote control solutions for the GTB/GTC of the City of Compiègne and the ARC• Development of renewable energies (geothermal, photovoltaic/smart grid)• Reference for the tertiary decree project and the OPERAT declaration
- Side projectAlgorithmic Trading / Data Analyst / Development in C# and PythonBANKING AND INSURANCEFebruary 2020 - Today (6 years and 4 months)Lille, France
- Development of automatic HFT/MFT price evolution forecasting algorithms, based on order flows and daily context, in Python and C#
- Real-time analysis of the order book (level 2/level 3, time and sales), tick by tick, identification of order types, liquidity zones, and market maker intentions
- Integration of the strategy with the API and optimization of backtests on hyperparameters (profit factor, Sharpe ratio, drawdown, trailing stop adjustments...)
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Education
- Master of Science - MS ( GRADE A )École des Mines de Saint-Étienne2019- Les champs disciplinaires sont ceux du Génie des Procédés à savoir les phénomènes de transfert et cinétiques, la thermodynamique et la modélisation des opérations des industries de procédés. Les outils de l’ingénieur comme les méthodes numériques et l’instrumentation sont aussi enseignées dans ce master. - Les profils professionnels visés se situent dans le domaine des procédés liés à la filière énergétique, de l’extraction de la ressource à la production ou la conversion d’énergie ainsi que l’optimisation des procédés et le management de la qualité des productions.
- General Engineer Diploma ICM ( GRADE A )École des Mines de Saint-Étienne2019L’objectif du programme est de donner les clés de compréhension de la production et de l’utilisation des différents types d’énergies tout en présentant les enjeux nécessitant une transition énergétique et des pistes pour organiser cette transition. L'Ecole des Mines de Saint-Etienne compte parmi les plus Grandes Ecoles d'Ingénieurs de France. Il s'agit d'un établissement public ayant pour vocation de former les ingénieurs destinés au secteur industriel. Enseignements d'approfondissement en : - Simulations de procédés et systèmes industriels - Industrialisation des procédés - Modélisation de systèmes physico-chimiques par approche CFD (Computational Fluid Dynamics) - Écoulements polyphasiques - Transferts de chaleur et de matière - Machines Tournantes / Machines Électriques / Machines Thermiques - Secteur Nucléaire - Développement Durable - Production Pétrolière