Khaled Boukharouba, Phd Email & Phone Number

Paris, FR

As the Data Science/Data Insights Director at Ogury, I lead three integral teams at the forefront of our strategic vision, focusing on personified targeting in a cookie-less and id-less environment. My role involves orchestrating the scaling of these initiatives, prioritizing tasks, and collaborating closely with the product teams to ensure seamless.

I led a dynamic team of data scientists and engineers focused on enhancing the delivery decision system. Our primary achievement was the development and implementation of a groundbreaking delivery algorithm, tailored to optimize volume while striking a balance between the interests of Ogury, publishers, and brands.One of our key innovations was the.

Paris 08, Île-de-France, France

I was in charge of a team of data scientists and engineers dedicated to data augmentation. Our primary focus was on enhancing signals gathered from mobile devices, utilizing advanced techniques to extract valuable insights and strengthen our targeting capabilities.Navigating the realm of big data, we tackled complex challenges with a blend of machine.

Région De Paris, France

In 2016, I was promoted to the position of chief data scientist CDS/CTO @ Trinov. I am in charge of leading and supervising the team of data scientists, as well as a PhD student (CIFRE). I have successfully completed many of the tasks entrusted to me such as: - Drive the data strategy of TRINOV and build data factory;- Participate in the definition of the.

Région De Paris, France

In 2013, I joined TRINOV, an innovative startup specialized in waste management. At Trinov, we develop different solutions (software) for small, medium and large size companies such as Carrefour, Auchan, Leader Price, Vinci, etc., to optimize their waste management and help them reduce the cost. When I first joined Trinov, I was the only data scientist.

Région De Paris, France

I joined the SIGMA Laboratory (SIGnaux, Templates, Statistical Learning) of CNRS as a research engineer. During my time there, I developed algorithms and modules for flash floods prediction using databases provided by our partners including "Météo France". Flash floods are floods that can occur in a short period of time (very few hours). We proposed a new.

- Lectures, practical works, labs about information systems and computer engineering for bachelor and master’s students- Correction and supervision of examinations

Douai

I worked as a research engineer in the "Computer and Automation" department of “Mines de Douai” where I developed new algorithms and modules for consumers behavior modeling based on their web purchases. The purpose was to identify potential consumers based on the time spent browsing the website, the amount of the shopping basket, the number of connections.

Douai

I worked on the identification of a special class of hybrid systems, namely, the class of PieceWise Affine (PWA) systems from input-output data. The identification of PWA models is a challenging problem. It involves the estimation of both the parameters of the affine sub-models, and the coefficients of the hyperplanes defining the partition of the state +.

Région De Lille, France

- Undertaking hundreds of hours of supervised and practical works (travaux dirigés TD et travaux pratiques TP) in different fields of study (computer science and Computer Engineering) for undergraduate and master’s students. I also supervised many students in their master’s project. - Correction and supervision of examinations related to the fields of study.

Douai

I was in charge of providing supervised and practical works (travaux dirigés TD et travaux pratiques TP) in different fields of study (computer science and Computer Engineering) for student-engineers.

Douai

I developed an online recursive clustering algorithm based on incremental and decremental Support Vector Machine (SVM). The online clustering task consists in updating the data partition over time, according to some dynamic phenomena such as: drifting, creation, fusion or elimination. The proposed algorithm can achieve an efficient clustering and is able.

Doctor Of Philosophy (Ph.D.), Machine Learning

Master 2 (M2), Automatique, Génie Informatique Et Images, Mention Bien (Major De Promotion),