Description

A data science expert with a PhD in Machine Learning and 10+ years of experience delivering AI solutions across media, luxury, life sciences, oil and energy.

My focus is marketing intelligence. Most marketing teams rely on platform attribution to make budget decisions. It looks clean, it's fast, and it's mostly wrong. I help them get a holistic picture of what's actually driving revenue, accounting for incrementality, channel interaction, and everything attribution misses.

I build marketing intelligence solutions that are fast, accessible, and actionable. No large teams, and no months of setup.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Bilingue ou natif
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Moet Hennessy
Data Scientist Freelance
VINS & SPIRITUEUX
décembre 2024 - Aujourd'hui (1 an et 6 mois)
- Building and deployment of ML predictive models.
- Customer segmentation, model and rule-based.
- Price Elasticity & revenue growth management (RGM) analysis.
- Automation (dbt, git, airflow)
- Streamlit (front end reporting)
Python Google cloud SQL DBT Machine learning
Van Cleef & Arpels
Cleint Data Scientist
LUXE
mai 2022 - décembre 2024 (2 ans et 6 mois)
Role responsibilities:
• Automating tools for monitoring, including dashboards and auto-generated presentations.
• Delivered MMM models quantifying the contribution of CRM and Clienteling activities to customer reactivation
• Conducting studies for marketing and CRM teams.
• Developing predictive ML models.
• Building data workflows (pipelines) for preparation of reports and dashboards.
• Building client studies for retail directors.
• Contributing to the data strategy of the Maison.

Tools:
Python, SQL, DBT, GCP, Git, Excel, Looker, Salesforce SC, SF Marketing Cloud, Visual Studio, SAP BI, LookML.
HAVAS MEDIA FRANCE
Global Senior Data Analyst
septembre 2021 - avril 2022 (6 mois)
Role responsibilities:
• Developed MMM and attribution models measuring the impact of Meta, Google Ads, display, and CRM channels on web conversions and ROI
• Built ML models to predict and improve clients convergence using web analytics data.
• Designed the roadmap for the data products.
• Created Machine Learning (ML) models using different data types, including 1st and 3rd party data.
• Guided clients in different domains, ex. fashion and E-commerce, in their data transformation journeys.

Tools:
Python, SQL, and Power BI.