Alexis Marion

Data Scientist & Machine Learning Engineer

Skills:

• **AI Models**: Deep Learning, CNN, GAN, LSTM, XGBoost, SVM
• **Tasks**: Classification, regression, segmentation, generation, anomaly detection, embedding, signal disaggregation, clustering
• **Training**: Supervised, unsupervised, semi-supervised, self-supervised
• **Data**: Images, videos, 3D (renderings, mesh or point cloud), time series, tables, text
• **Programming Languages**: Python, JavaScript, Scala, Java, C++, SQL, NoSQL
• **Data Science Libraries**: PyTorch, Lightning, Tensorflow, Keras, Scikit-Learn, XGBoost, Weights and Biases, Pandas, Spark, Kubeflow
• **Databases**: SQL, MySQL, PostgresSQL, MongoDB
• **Integration and Deployment**: Docker, Kubernetes, CI/CD, Git, Azure DevOps, GCP, microservices architecture, RabbitMQ, FastAPI, OpenAPI

Examples of achievements

• **3D parts search engine for Renault**: Development of embedding and matching models for 3D parts by geometric similarity. Integration into a microservice architecture.
• **Signal disaggregation for Total Energie**: Creation of predictive models to estimate the electrical consumption of individual devices from the overall consumption of a household. Implementation of a demo using connected sockets