I am a Data Scientist, a Social Network analyst and an Artificial Intelligence specialist. I am currently a Data Scientist at Work4 and a PhD candidate at Laboratoire de Traitement et Transport de l'Information of Institut Galilee - Paris 13. I am interested in artificial intelligence, machine learning, big data and robotics problems. My PhD thesis entitled Methods for Job Recommendation On Social Networks is supervised the Prof. Emmanuel Viennet .

Job recommendation on social networks (Facebook and LinkedIn)

My research focus on developing recommender systems that extract the interest/preference of social network users for items in order to make targeted advertisements to them.

I am using various machine learning, ontologies and information retrieval methods to model users and jobs in order to improve our job recommendations.

Systems predicting the popularity of job ads posted on social networks (Facebook, LinkedIn and Twitter)

I developed a set of machine learning-based systems called Work4Oracle that predict an estimation of the audience (number of clicks) of job ads posted on social networks.

The analysis of the results of Work4Oracle allows to find out and quantify the factors impacting the popularity of ads on Social networks.