Freelancer profile translated to English.
Back to original languageAbout James
🚀 Looking for a Machine Learning expert capable of tackling the most challenging tasks? Look no further! I am a passionate Data Scientist with solid expertise gained during my training. During this period, I completed various projects that allowed me to improve my skills and become familiar with the most advanced technologies.
🔍 My passion for data exploration and prediction has led me to develop a wide range of skills. I have carried out regression projects to predict the energy consumption of buildings and customer segmentation for an e-commerce site using clustering techniques. I also created an automatic tag suggestion system based on the content of natural language questions.
📷 My experience in computer vision has enabled me to develop an image classification model. Using advanced deep learning techniques, I have achieved accurate and reliable results.
🎵 Finally, I developed an automatic bird song classification model, combining signal processing and machine learning techniques. This unique experience allowed me to explore new perspectives in the field of audio and species recognition.
💼 With a solid academic background and varied practical experience, I am ready to bring my skills and creativity to your project. Whether it's solving complex problems, improving operational efficiency, or innovating in your field, I am the ideal professional to support your success.
📞 Feel free to contact me to discuss your specific needs and explore collaboration opportunities.
French
Native or bilingual
English
Fluent
Can work on-site
Metz (up to 50km), Luxembourg (up to 50km)
Experience
- SYNAPSIAMachine Learning EngineerDIGITAL AND ITFebruary 2023 - Today (3 years and 4 months)Saint-Julien-lès-Metz, FranceAt Synapsia, I performed several tasks related to process automation using RPA (Robotic Process Automation), NLP (Natural Language Processing), and Python.- Automation of customer reminders for unpaid invoices using assisted RPA, which significantly reduced processing times and improved the efficiency of collection operations.- Automation of leave validation by developing an autonomous robot, which streamlined the process and reduced errors.- Implementation of an automatic summarization system for unstructured texts from regulatory documents.- Implementation of a matching solution between job offers and candidates in a dedicated job search system, combining classification and NLP techniques.
- REVEALS SAData ScientistDIGITAL AND ITNovember 2022 - November 2022Luxembourg, LuxembourgFor a major Luxembourgish bank, I successfully implemented a proof of concept for the automatic extraction of data from unstructured PDF documents.- Semi-automatic creation of a tagged dataset (500K sentences) from document content (Python, keyword detection).- Testing of vectorization techniques (Tf-Idf, word2vec...) and supervised classifiers (Logistic Regression, SGD, HistGradientBoosting, Random Forest).- Testing of pre-trained NLP models (BERT, Distilbert, GPT-2) and data extraction techniques (Semantic similarity, Question answering, Siamese network).
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Education
- Professional Certificate in Computer DevelopmentAFPA2005Spécialisation Microsoft .NET
- Machine Learning EngineerOpenclassrooms / CentraleSupélec2022Montée en compétences durant ma formation grâce à la réalisation de différents projets : - Régression : Prédiction automatique de la consommation énergétique de bâtiments - Clustering : Segmentation clients d'un site de e-commerce - NLP : Création d'un système de suggestion automatique de tags basé sur le contenu d'une question (LDA, Tf-Idf, Word embedding, Universal encoder...) - Computer vision : Modèle de classification d'images de chiens en fonction de leur race - Séries temporelles : Modèle de prévision de l'évolution du cours de bourse - Modèle de classification audio automatique des oiseaux par leur chant