Anas Belfatmi

Anas Belfatmi has a diverse work experience that includes roles in deep learning, machine learning, data science, data analysis, and consulting. Anas began their career as a Radar Engineer at CEA in 2019. They then worked as a Consultant at AlixPartners in the Automotive industry, where they contributed to the "2021 Alix Partners Global Automotive Outlook" by writing the section on Hydrogen Vehicles. Anas also worked as a Data Analyst at SNCF, where they analyzed carbon footprint data and developed a tool to rank suppliers based on their environmental efforts.

Anas gained industry experience as a Data Scientist at AUDI AG, where they developed data analysis, classification, and time-series regression tools to improve factory efficiency on car production lines. They also built a predictive classification model that increased the accuracy of IT support ticket resolution time forecasts by 15%.

Before joining AUDI AG, Anas worked as a Machine Learning Engineer at Acoustic Wells, a Boston-based company focused on AI-powered IoT solutions in the oil and energy sector. In this role, Anas designed and implemented robust data engineering pipelines and ML models for various tasks such as failure detection, metrics forecasting, control, and data analysis.

Currently, Anas is working as a Deep Learning Engineer at Alygne, a Californian DeepTech startup. In this role, they are involved in the development and industrialization of NLP data pipelines, as well as working on new NLP features such as entity disambiguation with knowledge graph, continuous learning systems, and stance detection.

Overall, Anas Belfatmi has a strong background in engineering, data analysis, and machine learning, with experience in a variety of industries including automotive, transportation, and energy.

Anas Belfatmi began their education journey in 2016 at Lycée Lakanal, where they pursued Classes préparatoires aux grandes écoles (CPGE) until 2019. Following that, they enrolled at CentraleSupélec in 2019 and is currently expected to graduate in 2023 with a Master of Engineering (MEng) degree in Data Science. Additionally, in 2021, Anas also participated in online data science courses offered by Harvard University.