Freelancer profile translated to English.

Description

Data Analyst and Insight Strategist specialized in CRM and marketing, I help companies transform their data into levers for business performance and customer loyalty.

Thanks to an analytical and strategic approach, I design tailor-made solutions to optimize marketing campaigns, refine customer knowledge, and drive key KPIs.

🔹 What I bring you:

Implementation of interactive Power BI dashboards for real-time monitoring of marketing and CRM performance.

Automation of analytical workflows in Dataiku and BigQuery to increase efficiency and reliability.

Customer segmentation, scoring, and predictive modeling (machine learning) to personalize your marketing actions.

Impact analysis (MMM, Text Analytics, social listening) to measure the real contribution of your media and content levers.

Support for teams in interpreting and leveraging insights for better decision-making.

🔹 What sets me apart:

A dual data & marketing expertise, stemming from international projects conducted for brands and CRM departments.

A ROI and activation-oriented approach, not just reporting.

A solid mastery of modern data tools: SQL, Python, Power BI, Dataiku, BigQuery, R, Brandwatch.

🔹 Types of missions I am looking for:

Development of dashboards and automation of marketing reporting.

Customer segmentation and data science projects applied to CRM.

Audit or migration of analytical environments (SPSS → Dataiku, Power BI, BigQuery).

Consulting in data marketing strategy and insights valorization.

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

AVISIA
Data Analyst & Insights Strategist Consultant
LUXURY GOODS
September 2023 - Today (2 years and 9 months)
Paris, France
Context: Analytical transformation across six key Gulf markets.

Migration of analytical flows from SPSS to Dataiku & BigQuery
Audit and migration of databases and analytical workflows.
Automation of data pipelines to improve efficiency and scalability.
Development and management of CRM dashboards (Power BI)
Design of interactive reports for monitoring omnichannel marketing campaigns (emails, SMS, automated triggers) deployed across 6 markets.
Integration and tracking of key KPIs: open rates, click-through rates, conversions, revenue contribution.
Analysis of the impact of in-store promotions on customer performance: evolution of average basket size, purchase frequency, acquisition, and loyalty.
Provision of actionable insights to local and central CRM and marketing teams.
Development of analytical workflows on Dataiku for monitoring customer, retail, and e-commerce KPIs.
Customer, store, and product segmentation using clustering and machine learning to optimize marketing actions.
Monitoring and reporting of retail and e-commerce performance to guide strategic decisions.
Creation and automation of Power BI dashboards
Design and development of interactive Power BI reports for real-time monitoring of marketing and CRM KPIs.
Presentation of strategic insights and actionable recommendations to CRM and marketing teams (in English).
📌 Technologies used: Power BI, Dataiku, Google BigQuery, Python, SQL, SPSS Modeler, R, Office Suite
SQL Microsoft Office Microsoft Power BI Big Query Dataiku DSS
Kantar Insights
Data Scientist / Architect of Insights and Data Strategies
CONSULTING AND AUDITS
September 2019 - August 2023 (3 years and 11 months)
Paris, France
Context: Within the Data Analytics Department, I led strategic projects in Marketing Mix Modeling and Text Analytics, transforming complex data into actionable insights. I collaborated closely with clients to understand their needs, structure data, and develop tailor-made solutions, thereby optimizing decision-making.

Marketing Mix Modeling (MMM): Optimization of advertising investments
Development of predictive models using InterStat to maximize the impact of marketing campaigns on sales.
Collection, cleaning, and consolidation of multiple data sources, advanced statistical validation, and continuous adjustments.
Enrichment of Metaskope data with TGI: Advanced predictive modeling

Integration of TGI data into the Metaskope database, supplementing panel variables with detailed insights.
Application of ML models to enrich missing data.
Text Analytics & Insights Extraction: Analysis of social networks and customer feedback
Social data analysis: Real-time data collection and processing with Brandwatch and Python scripts (N-grams, Word2Vec).
Visualization and insights: Trend identification via Gephi, STAN (PyStan), and creation of interactive reports in Power BI.
Development of interactive web applications with R-Shiny
Design of an interactive web application in R-Shiny, enabling real-time visualization of analysis results and predictive models.
GDPR & CSR Compliance: Social and ethical responsibility
CSR commitment: Raising awareness of climate issues (Climate Fresk) and strengthening GDPR compliance through an IT charter.
📌 Technologies used: R, Python, SQL, Power BI, SPSS Modeler, Brandwatch, Gephi, R-Shiny, Office Suite
Enigma School, L'École Supérieure des Sciences de l'Informatique de Lille
Lecturer in Data Analysis/Science
EDUCATION AND E-LEARNING
January 2023 - Today (3 years and 5 months)
Lille, France
Context: As a lecturer in Data Analysis and Data Science, I provided training at various academic levels, from an introduction to artificial intelligence to advanced data modeling and processing techniques.

First Year: Introduction to Artificial Intelligence (AI)
Presentation of fundamental AI concepts, machine learning algorithms, and practical real-world applications.
Second Year: ETL and Machine Learning on Dataiku
Training on data Extraction, Transformation, and Loading (ETL) processes with Dataiku.
Deep dive into Machine Learning concepts: using Dataiku for data preparation, creating predictive models, and evaluating their performance.
Introduction to different algorithm types (prediction, classification, etc.) and how to implement them on the Dataiku platform to solve real-world problems.
Fourth Year: R Language for Data Science
Teaching the basics of the R language, including data manipulation techniques, statistical modeling, and visualization, to prepare students for complex Data Science projects.
Project Supervision:
Supervision of segmentation and trend prediction projects, guiding students on real case studies and providing methodological support.