
Alaeddine Zekri
Senior Data Scientist | Marketing Mix Modeling
Salaire / Taux journalier
Paris, France
Freelance
Peut venir sur site
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Expérience de travail
Senior Data Scientist
Pernod Ricard
nov. 2023 - Présent
3 ans
Paris, France
I work as a Data Scientist on the Matrix project, which aims to help marketing teams optimize their campaigns and budget allocation across different brands and advertising channels in their markets. My Contribution As the Data Scientist for the German and UK markets within Matrix, my role was to maintain and update a Marketing Mix Model (MMM) with fresh data every six months. This made it possible to analyze past campaigns and generate actionable recommendations for future marketing budgets. Key Missions - Contributed to the collection and preparation of data inputs for the model. - Analyzed data and collaborated with Data Analysts and Marketing Effectiveness Leads to validate inputs. - Re-trained several Marketing Mix Models with the latest data. - Analyzed and presented the best-performing model to marketing teams. - Maintained and enhanced internal tools and applications used by Data Scientists. Results - Achieved a -13% reduction in marketing spend while improving Return on Spend (ROS) by +11%. - Automated the data collection and preparation phase. - Improved the model results analysis tool (Streamlit application).
namR
févr. 2019 - oct. 2023
4 ans 9 mois
Paris, France
Squad Tech Lead
mars 2023 - oct. 2023
8 mois
Paris, France
Leading namR's "SolaR" squad that aims to produce all necessary data to estimate the solar potential of each roof slope. Missions - Estimate human and technical resource needs for the project. - Assess technical feasibility and establish a project timeline. - Provide technical guidance to support decision-making and ensure project progress. - Set up team rituals to keep all Squad members aligned and informed.
Data / Computer Vision Scientist
sept. 2019 - mars 2023
3 ans 7 mois
Paris, France
As part of the namR activity, I was involved in setting-up Machine Learning / Deep Learning algorithms to produce actionable, quality data in order to have the most complete digital twin on the French territory. I also contributed to the maintenance and improvement of the geocoding tool, which transforms a textual address into a geolocated point.
Data Scientist Intern
févr. 2019 - août 2019
7 mois
Paris, France
- Implementation of a Python package for analyzing geo-localized data (Spatial Autocorrelation) - Prediction of building roof types and materials in France using Transfer Learning (Residual Neural Networks, CNN)
Formation
Télécom SudParis
Diplôme d'ingénieur
2016 - 2019
4 ans
Lycée du Parc
CPGE
2014 - 2016
3 ans