Description

Au long de ma carrière, j'ai eu la chance d intervenir autant que Data Scientist, Data Engineer et Data Analyst. Ces derniers m ont permis d avoir une vision et experience transverse sur toute la chaine de production, ainsi la collaboration avec tout les départements est devenue plus facile.

I am an accomplished data professional with a proven track record of success in the E-commerce & Consumer industry. My 7+ years of experience in data analysis and advanced analytics, Master's degree in Computer Science and exceptional problem-solving skills, self-taught abilities, and ability to communicate effectively with both business and technical teams make me a valuable asset to any organization. I am proficient in multiple programming languages, big data platforms and data visualization tools, and fluent in multiple languages. I am a team player, goal-oriented and always looking for ways to add value and drive growth.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Portuguese
Fluent
Spanish
Conversational

Workplace preferences

Can work on-site

Dubai (up to 50km)

Chalhoub group
Data Insights & Strategy Manager
LUXURY GOODS
May 2021 - Today (5 years and 1 month)
Dubaï, United Arab Emirates
Collaborated closely with diverse business units to develop prototypes across
departments including Finance, Marketing, and E-commerce.

Analyzed E-commerce data to determine high-performing channels, optimize
marketing budgets, and improve customer acquisition and retention strategies.
Achieved a 60% increase in E-commerce traffic and a 30% improvement in
conversion rates.

Developed a 360-degree view of the customer to personalize experiences,
utilizing segmentation based on demographics and shopping behaviors.
Identified the main sales segments/channels driving the traffic, sales and
conversion rate as well as optimizing the Ad cost to increase the ROI.
Applied AI in forecasting marketing campaign performance, running simulations
to maximize impact.

Led the enhancement of inventory across stores and regions through machine
learning, effectively forecasting stock needs and streamlining distribution
Initiated a stock optimization project to increase visibility on aging inventory,
guiding more aggressive marketing strategies to enhance sell-through and
reduce loss.

Created a unified finance solution, now a central platform for over 500 users
including finance teams and General Managers, establishing a single source of
truth across the group.

Serve as the primary point of contact for all analysts within the group, leading
best practices and providing support for complex challenges.
Looker GCP Data visualisation Data Science Analyse de données Strategy Consulting
Danone SA
Senior Data Scientist
AGRICULTURE
October 2018 - May 2021 (2 years and 8 months)
Paris, France
Led and contributed to various significant projects, showcasing my expertise in analytics, strategy, and operational optimization. Here's an overview of the key initiatives I undertook:

Customer Purchasing Behavior Analysis: I employed machine learning to delve deep into customer purchasing patterns, refining our marketing strategies and product placements based on consumer preferences.

Marketing Data Consolidation: I integrated data from Kantar, Nielsen, and Jumpshot, achieving $1 million in savings and creating a unified analytics platform for more coherent insights.

Market Share Analysis and Competitive Positioning: I conducted thorough market share analysis, identifying strategic opportunities for growth and areas for competitive enhancement.

Basket Analysis and Customer Segmentation: Utilizing advanced analytical techniques, I performed detailed customer segmentation and basket analysis, optimizing our marketing efforts and promotional strategies.

HR Risk of Loss Analysis: I implemented predictive modeling using text mining and machine learning to forecast potential staff turnover, enabling proactive retention strategies.

Product Shelf Life Prediction Model: I developed a model to predict product shelf life based on historical data, improving inventory management and reducing waste.

Customer Duplication Analysis: I conducted data cleaning and applied NLP techniques to refine the customer database, enhancing the accuracy of consumer insights for targeted marketing.

Data-Driven Culture Workshops: I initiated and led workshops aimed at promoting a data-driven culture within Danone, enhancing the team’s ability to leverage analytics in their decision-making processes.

Data science Data Engineering Data visualisation Data Management Big Data IT Strategy Python AWS GCP Azure Data analysis Data Strategy Microsoft Power BI MicroStrategy Data Studio ETL Alteryx
Assystem
Data Scientisit
DIGITAL AND IT
October 2016 - October 2018 (2 years)
Paris, France
Hadoop Data science Data visualisation Data mining Data Management