Fatma Allouche

Leadership & Project Management - Managing and scaling a Data Team from 1 to 10 engineers ( data analysts, data scientists, data engineers, ML engineer, DevOps engineer). - Working with CTO and Head of Data on roadmap of creating online + offline advertising Data Platform and a unique referential of campaigns. - Working within cross functional teams of Publicis Media France to deliver data products. - Contributing on global roadmap for creating data products : data science usage, reporting and analytics, operational usage and for data observability and monitoring. Products could be used for internal use or client use. Data Architechting & Engineering - Architechting a Data Platform to centralize advertising data of activated campaigns of the agency - Building ETL pipelines from data collection to data monitoring and observability. Reporting & Analytics - Creating Datamarts and Data visualization reports for monitoring Paid Media Campaigns Data Science - Working on studies for customer behavior analysis - Multi touch attribution to measure the effectiveness of the media mix - Measuring the effect of promotion on sales using temporal series building full funnel marketing reporting, custom audience activation and measurement using A/B testing - Geolift measures Media working on cookieless environments Liveramp / Google ADH / Amazon Marketin g Cloud AMC Clients : L'oréal, Intermarché, Ouigo, Ralph, Airfrance, Engie, Stellantis

- Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance - Work with team of Analysts, Data Engineers and Strategy Managers to drive tactical initiatives - Provide leadership and mentorship to other members of the team - Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc - Identify key performance metrics and benchmarks related to user behavior, user segmentation, and user retention - work on data science project like personnalisation, recommendation systems to improve capaign performance - Experience with data visualization tools such as Google data studio - personalization of offers via machine learning (Achieving until 200% of new customers and +2 pts in ROI comparing to the same offers without personalization) - Establishment of recommender systems for campaign precision targeting (*2,6 points) comparing to the same campaign without using scoring - Leading different sources of structured and no structured data : CRM, PROMO, WEB NAVIGATION … - Prediction of churn via Lifetime Value - Segmentation and clustering of BDD - Computing and optimisation of KPIs - Automation of pipelines at scale via Kubeflow - DataLakes mountage using Airflow, Cloud Composer, Cloud Run, Cloud PubSub respecting CI/CD integration - DataMarts mountage using Cloud Functions - Creation of reports on Google Data Studio

- Development of data analysis methods based on the fluorescence and infrared technologies for quality control and optimization of processes. - Analysis of spectral data and Elaboration of predictive models. - Interaction with the optical, electronic and computer services for the design of sensors. - Participation in programming software tools coupling different techniques for a full characterization of samples. - Assessment of the quality of optical sensors rendering - Standardization of sensors. - Development and implementation of decision support tools. - Training in data analysis. - Scientific monitoring and communication.

Development of software tools for the characterization of nano materials from tomography images. - C++ / Python Programming. - large volume of data management. - Scikit learn, Scipy, Linux scripting

Joint analysis of multimodal and multiresolution hyperspectral images: Mapping of maize stems. using Infrared, fluorescence and Raman microspectroscopies in synchrotron radiation. - Establishment of data acquisition protocols with different optical sensors: infrared, fluorescence and Raman. - Characterization of the composition of materials by using a joint analysis of the data. - Multimodal data fusion. - Writing scientific publications and proposals - Oral communications in international conferences - Interaction with multidisciplinary academic research teams.

reconstruction of 3D volume from free hand 2D ultrasound images for conformational radiotherapy. - Programming C++ (tuning and validation).