Kawtar Kostani

– My objective as a data scientist at Prisma is to help our CRM, email & display advertising teams master knowledge of our NL subscriber profiles and our print & digital readers. – The objective is to offer an advertisement adapted to the profile and context of the internet user/reader. This advertisement will meet a need and provide a service. It informs rather than harms. This benevolent relevance to both the advertiser and, of course, the audience.

– I joined Fullsix Data as a Senior Data Analyst to support various clients on data/CRM issues, both for the technical aspect (database audit, statistical modeling, descriptive and predictive analysis, scoring and segmentation) and for the business aspect, defining and writing the data/marketing roadmap, intervening on digital topics (analysis of navigation behavior, implementation of DMP and definition of business use cases) – I am also responsible for the relevance of our responses and the smooth running of a data project in its entirety

– I joined VIVARTE for the position of DATA ANALYST to develop data for CRM and marketing studies. – I participate in the implementation of a datamining and/or big data solution, in order to use both basic and the most sophisticated statistical models, for a better understanding of our clients' different profiles, to understand their needs, follow their journeys, for better personalization of the offer over time and space

– For Galeries LAFAYETTE, I participated in the redesign and creation of data tools to facilitate and refine marketing targeting (CROSS SELLING, channel appeal, customer profitability, promotion appeal, customer life cycle, product life cycle, etc.) and recommendation and personalization tools for the commercial offer. – I also worked with an external company to enrich a strategic customer segmentation with attitudinal and socio-demographic data, in order to qualify the customer profile. – I participated in the maintenance and optimization of existing tools (scores and segmentation). – Finally, I carried out studies in collaboration with different teams (CRM, FID, DSI, etc.) aiming to understand customer behavior in store and/or on the web, as well as the different customer journeys.

– My position at Publicis had two aspects: – The first concerns management. Indeed, I participate in the development of projects with the different actors of the agency. Then, I follow the project steps, from brief taking and understanding of customer needs, to the production of digital programs and deliverables. I provide advice on the technical feasibility of projects, define management rules, and coordinate between our teams, different service providers and the end client. – The second aspect is technical. I perform all "data" tasks around the project: audit of databases, enrichment and qualification, customer segmentation, realization of scores of appetite for marketing programs and communication channels. Not to mention my contribution to the interpretation of web analytics statistics, navigation data, as well as emailing data (deliverability, opening, click, reactivity, etc.). – Finally, I make recommendations in collaboration with the account directors to optimize the programs.

– My tasks included: – Realization of customer extractions, analysis of customer behavior following ad hoc requests. – Statistical modeling (Decision tree), and calculation of appetite scores – Impact calculation (ROI) and identification of KPI's, realization of statistical tests – Identification of product associations (cross-selling, shelf arrangement...etc)