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.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Moet Hennessy
Data Scientist Freelance
WINE AND SPIRITS
December 2024 - Today (1 year and 7 months)
- 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
LUXURY GOODS
May 2022 - December 2024 (2 years and 6 months)
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
September 2021 - April 2022 (6 months)
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.