Freelancer profile translated to English.
Back to original languageAbout Ayoub
A graduate of Télécom Paris and a Data Scientist, I help companies transform their data into decision-support tools.
During my experiences in consulting firms, I have developed data analysis, machine learning, and statistical modeling solutions for major players in the FMCG, healthcare, and telecommunications sectors. I am involved in the entire value chain: understanding business needs, data preparation and analysis, model development, results reporting, and recommendations.
My areas of expertise include:
• Python (Pandas, NumPy, Scikit-learn)
• SQL
• Data analysis and statistics
• Machine Learning
• Data visualization
• Marketing Analytics & Marketing Mix Modeling
I place particular importance on code quality, clarity of analysis, and smooth communication with business teams. My goal is to provide robust, understandable, and directly usable solutions to address your business challenges.
Feel free to contact me to discuss your project.
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Paris (up to 30km)
Experience
- Emerton DataMarketing Measurement AnalystCONSULTING AND AUDITSOctober 2025 - December 2025 (2 months)Paris, France
- Supporting business teams in translating business problems into quantitative analyses and operational recommendations.
- Designing an internal Marketing Mix Modeling (MMM) solution to industrialize analytical workflows and accelerate future projects.
- Managing an end-to-end analytical project for a major FMCG player, from data collection to reporting recommendations.
- Developing statistical and econometric models using sales, price, promotion, and media data to optimize marketing investments.
- EkimetricsData ScientistCONSULTING AND AUDITSApril 2025 - October 2025 (6 months)Paris, France
- Developing Machine Learning and econometrics models to measure and optimize the marketing performance of large groups in the healthcare and telecommunications sectors.
- Processing, cleaning, and analyzing large datasets combining transactional, media, and external variables.
- Designing variables, improving model robustness, and optimizing performance using feature engineering and regularization techniques.
- Reporting results to business teams to transform analyses into strategic recommendations.
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Education
- Engineering DegreeTélécom Paris2025Diplôme d’Ingénieur
- Master Data ScienceUniversité Paris Cité2025Master Data Science