Data Analyst · Bordeaux, France
Data Analyst: I combine 10 years of expertise in e-commerce and international trade with newly acquired analytical skills to turn data into concrete business decisions.
Tools learned during my Data Analyst degree, put into perspective by 10 years of operational experience with business data.
Pandas, Matplotlib, Seaborn, Plotly Express: exploratory analysis, data visualization and modeling.
Complex queries, CTEs, window functions, views: extracting and transforming relational data.
Interactive dashboard design, DAX modeling, dynamic reports for business performance monitoring.
Scikit-learn, regression and classification algorithms, feature engineering: from model training to deployment.
10 years of hands-on experience with generalist and specialized marketplaces, both French and international: sales KPIs, pricing, sponsored products.
French (native), English (professional), Dutch (basic), to work with international teams and data.
Three projects completed during my Data Analyst degree, from SQL to data science, with one common thread: turning raw data into business value.
Project 01 · SQL & Power BI
Design of a Power BI dashboard to monitor the performance of a scale-model distributor. Logistics KPIs computed in SQL: critical stock levels, average shipping times, delay rates and estimated time before stock-out per product.
Project 02 · Python · Machine Learning · Power BI
Data cleaning and exploration, followed by the development of a clustering-based movie recommendation system (Machine Learning). Results visualized with Matplotlib and Seaborn, plus a Power BI dashboard to track the project KPIs.
Project 03 · Machine Learning · E-commerce
Development of a price recommendation tool for e-commerce businesses, based on automated competitive analysis and Machine Learning models to optimize pricing competitiveness.
From e-commerce to data: a change of tools, not of vision. I've always sought to understand the story behind the numbers.
Education
2026
Wild Code School
SQL, Python, Power BI, Machine Learning: 3 real-world projects.
2019
IDRAC Business School · International Business track
2017
Montpellier Business School
2016
Charente Business School
Professional experience
2023 – 2026
IDCOM, Bordeaux
Monitoring sales, margin and service-quality KPIs. Optimizing sponsored-product campaigns.
2021 – 2022
Octopia · Cdiscount group, Bordeaux
Driving sales growth across European marketplaces.
2020 – 2021
Cdiscount, Bordeaux
Customer support across Scandinavian and Dutch marketplaces.
2014 – 2020
Distillerie des Moisans · Biotope · Zuiver (Netherlands)
Sales administration, documentary credits, overdue payments and international tenders.
Open to conversations about any project that brings us together.
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