Machine Learning Lecturer
2019 - PRESENTCentraleSupélec- Created and taught the machine learning class for the master's degree in artificial intelligence.
- Co-created and taught the deep learning class for the master's degree in data sciences and business analytics.
- Supervised student projects and graded exams in machine learning in several other graduate classes.
Technologies: Python, PyTorch, Machine Learning, Deep Neural NetworksLead Data Scientist
2021 - 2022Saint-Gobain Group- Managed a team of 10 data scientists, providing technical guidance and expertise.
- Overviewed and contributed to models for the optimization of the sales force's customer portfolio and store distribution.
- Overviewed and contributed to models for sales forecast, prediction of supplier lead time, and optimization of store inventory.
- Overviewed and contributed to models for client segmentation and profiling, business lifecycle detection, and estimation of clients' sales potential.
Technologies: Artificial Intelligence (AI), PyTorch, Python, SQL, Deep Learning, Machine Learning, Data Science, Deep Neural NetworksSenior Data Scientist
2020 - 2021L'Oreal- Developed models to detect and evaluate clinical signs of aging (wrinkles, dark circles, etc.) from multispectral photos.
- Created a fast and lightweight method to estimate the 3D shape of a face from single- and multi-view pictures based on statistical shape modeling.
- Integrated the developed models on iOS with Core ML to deploy them in Lancôme points of sale.
Technologies: Artificial Intelligence (AI), Deep Learning, Computer Vision, PyTorch, Python, OpenCV, Generative Adversarial Networks (GANs), Machine Learning, Deep Neural NetworksDeep Learning Scientist
2017 - 2020Commissariat à l'Energie Atomique (CEA)- Developed cutting-edge models to outperform all existing approaches in "multimodal" tasks involving both images and text in natural language.
- Published several scientific articles in international peer-reviewed journals and conferences.
- Contributed to the writing of a deep learning book as a co-author.
Technologies: Scikit-learn, Python, TensorFlow, PyTorch, Deep Learning, Computer Vision, Natural Language Processing (NLP), Generative Adversarial Networks (GANs), Machine Learning, Deep Neural NetworksData Scientist
2016 - 2017AXA Group- Led the data science team in the deduplication and client knowledge project to identify links and patterns among millions of clients in multiple databases.
- Designed predictive algorithms deployed in lead management information systems to optimize prospect conversion.
- Developed a model analyzing and redirecting requests from incoming emails from clients.
- Designed data science tests and conducted technical interviews.
Technologies: SQL, Apache Impala, Apache Hive, Scikit-learn, Hadoop, Spark ML, Apache Spark, Python, Machine LearningData Science Consultant
2015 - 2015CGI Business Consulting- Developed big data and analytics products for large-scale unsupervised data visualization and clustering.
- Supervised the deployment of large-scale flight-tracking software related to the passenger name record European directive.
- Benchmarked many existing NoSQL databases and cloud platforms.
Technologies: Elasticsearch, Azure, Amazon Web Services (AWS), Tableau, Spark ML, Apache Spark, Cassandra, MongoDB, Scala, Java, Web Development, Machine LearningAnalyst
2014 - 2014Goldman Sachs- Developed a tool to monitor activities on the futures trading platform as close to real-time as possible.
- Analyzed past anomalies to predict most likely future malfunctions on trading platforms.
- Tracked and fixed bugs on trading platforms using Jira.
Technologies: JUnit, Groovy, SQL, Java