Freelancer profile translated to English.
Back to original languageAbout Harry
As a former researcher passionate about science and technology, I enjoy working on innovative data/AI projects. I find that these types of projects push one to think outside the box and find unique solutions to complex problems. Although I am particularly drawn to projects in the industrial sector, including manufacturing, energy, and transportation, as well as in the fields of medicine and aerospace, I am open to exploring other areas and sectors. I believe that the use of AI technologies in these fields has the potential to revolutionize how we approach these industries and make them more efficient, sustainable, and effective.
French
Native or bilingual
Can work on-site
Nantes (up to 50km), Paris (up to 10km), Rennes (up to 10km), Angers (up to 10km), Tours (up to 10km)
Experience
- ZenikaConsultant/Trainer Data Science - Machine Learning - Deep Learning - MLOpsDIGITAL AND ITSeptember 2019 - March 2023 (3 years and 6 months)Nantes, France► Assignment @ Cbp - Digital & Technologies Division:- Prediction of the complexity of a claim- Optimization of medical controls- Activity rate prediction⚗ Topics: machine learning, deep learning, MLOps, CI/CD, explainability, fairness⚒ Environment: Python, TensorFlow, AWS (EMR, SageMaker Pipelines, Forecast), Data Catalog (Zeenea)► Assignment @ industry sector: Development of an end-to-end solution for automatic segmentation and spatial positioning of multiple objects in a 3D scene.⚗ Topics: deep learning, MLOps, computer vision, 3D U-Net, vector calculus in Euclidean geometry, quaternion rotation, optimization algorithm⚒ Environment: Python, TensorFlow, Open3D, AzureML► Assignment @ SNCF : Data Scientist of the "Rock the Data" team at 574 in Nantes. Development and industrialisation of a time series forecasting tool for SNCF national call centres.⚗ Topics: time series, gradient boosting, deep learning, MLOps⚒ Environment : Python, Azure ML, Azure DevOps, TensorFlow, Pandas, NumPy, CatBoost► Assignment @ VadeSecure: Development of an email binary classification API (benign or malicious).⚗ Topics: NLP, machine learning, MLOps, CI/CD⚒ Environment : Python, Scikit-learn, NLTK, Docker, FastAPI, bash► Contributor and Trainer of "Python for Data Science" and "Deep Learning with Tensorflow 2" training.► Professor at CNAM Nantes, Master 1 course, "Manipulating structured data with Python" (Numpy, Pandas, Matplotlib).► POC Manitou Group, study of the implementation of Databricks (Spark Structured Streaming, spark.ml, MLFlow).► Continuous self-training in Machine Learning, Deep Learning.► Technology watch► Participation in Data Science competitions (Kaggle, Challenge Data)⚗ Workshop/Talk╸ "Introduction to TensorFlow" Shopee Code League 2020⚗ Certifications╸ "Professional Machine Learning Engineer" (GCP)╸ "TensorFlow Developer"╸ "Microsoft Certified: Azure Data Scientist Associate"
- FreelanceFreelance Data Scientist / Machine Learning Engineer with Cloud and MLOps expertiseApril 2023 - Today (3 years and 2 months)France
- CEA - Commissariat à l'énergie atomique et aux énergies alternativesResearcher in multiphysics modellingENERGY AND UTILITIESNovember 2015 - June 2019 (3 years and 7 months)91400 Saclay, France► Studies in modelling and multiphysics simulation of welding and additive manufacturing (processes and thermo-metallurgical-mechanical effects).► Development of a Cast3M generic routine for transient thermo-mechanical element-finish simulation multi-pass welding and additive manufacturing.► Implementation of numerical tools in Python 3 in a welding simulation business software and coupling of scientific calculation codes.► Supervision of a PhD student in the field of welding and the lifespan of 316L(N) steel assemblies.► Scientific and technical support of a PhD student in the field of additive manufacturing of metallic materials.► Participation in European projects on the subject of welding and prediction of residual manufacturing stresses.► Consultation by external companies in the field of relaxation cracking of austenitic stainless steels (e.g. AISI 316L).► Computer management in the laboratory (i.e. purchasing, hardware, network, software installation).► Management of the laboratory's scanning electron microscope (SEM).⚗ Main Talks╸ "Intergranular Fracture in Austenitic Stainless Steels : A Micromechanical Model of Reheat Cracking Following a Local Approach to Fracture" 20th European Conference on Fracture (Trondheim - Norway, 2014)╸ "Intergranular Fracture in Austenitic Stainless Steels : A Micromechanical Model of Reheat Cracking Following a Local Approach to Fracture" Creep Fatigue Crack Development, Symposium HTMTC (Dubendörf - Swiss, 2014)
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Education
- Doctorate in Materials Science and EngineeringEcole nationale supérieure des Mines de Paris2014Diplôme de Docteur en Sciences et Génie des Matériaux
- Degree of Mechanical Engineer, Mechanics, MaterialsInstitut supérieur de mécanique de Paris2011Degree of Mechanical Engineer, Mechanics, Materials