Machine Learning Architect and Applied Scientist

As a Ph.D graduate and a fulltime Machine Learning Architect, I have the ability to develop theoretical and practical tools on the broader domain of the data analytics, machine learning, business process mining, and text mining.

• Java (allg.)
• Jenkins
• Keras
• Pandas DataFrame
• PyTorch
• Scikit-learn
• TensorFlow

As a Ph.D graduate and a fulltime Machine Learning Architect, I have the ability to develop theoretical and practical tools on the broader domain of the data analytics, machine learning, business process mining, and text mining. I received the Doctorate degree from the University of Paris Dauphine (PSL) and I have been a part of LAMSADE group during the last 4 years. Between November 2016 and May 2020, I had been an assistant professor in several computer sciences subjects for L1, L2, and L3 at the University of Paris Dauphine. Under the cap of data scientist (specialized in machine learning and text mining) I had been involved in different problematics requiring skills in various fields.
From June 2020 until present, I play the role of Machine Learning Architect and Applied Scientist at ActiveEon.

I consider myself as an enthusiastic, pragmatic, adaptive and quick-learner. One of my main objectives is to always seek for a challenging position where I can employ my acquired skills and can learn new theoretical and technical skills.