Freelancer profile translated to English.

Description

Experienced Data Business Analyst for informed decisions through data

Passionate about data analysis and visualization, I help organizations transform their data into strategic decisions. My skills include creating dynamic dashboards, in-depth analysis, and automating reporting processes. Proficient with tools such as Power BI, SQL, Python, and Excel, I have carried out varied and impactful projects.

Key Experiences:

Construction project monitoring: Creation of Power BI dashboards enabling real-time monitoring, optimizing performance tracking and quick identification of delays.

Real estate market forecasting: Predictive analysis using modeling to anticipate valuations, thus helping to reduce risks for investors.

Improving customer satisfaction in retail: Analysis of customer interactions and implementation of Net Promoter Score (NPS) tracking to target and resolve friction points.

Added Value for Businesses:

I offer concrete solutions tailored to business needs, enabling:

Data-driven decisions: Visual insights and reports for informed choices.

Process automation: Time savings and error reduction through report automation.

Improved customer experience: Analysis of behaviors and recommendations to optimize loyalty.

My goal is to make data useful and actionable, helping each organization adopt a data-driven approach for optimal performance.

Industry field of expertise

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Enolia.be
Data analyst
E-COMMERCE
November 2024 - June 2025 (7 months)
Brussels, Belgium
Optimization project for stock and product catalog data for an e-commerce site specializing in high-end wines (Cavissima.be – Brussels).

🔍 Objective: Reduce errors between ERP and WooCommerce site to avoid lost sales.
📦 Volume analyzed: +1,500 product references from 3 databases (ERP, web, link).

🛠️ Technical Stack:
Python, Pandas, Seaborn, Excel, ERP, WooCommerce, Data Cleaning, Data Audit, File Matching, Data Quality, Visualization, Exploratory Analysis

🎯 Actions taken:

Cleaning and cross-referencing databases (erp.xlsx, web.xlsx, link.xlsx)

Analysis of inconsistent stock statuses: products displayed as "out of stock" when they were available

Creation of validation rules (SKU, availability, quantities)

Identification of +15% of high-margin products (>€50) blocked due to errors

Correction of statuses and immediate relisting

Implementation of product data reliability indicators

Dashboard for monitoring quality and stock discrepancies

💰 Business Impact:

+12% of potential revenue recovered over 3 months

Improved visibility of high-value products on the site

Significant reduction in listing errors
SQL Python Microsoft Power BI E-commerce strategy
Crédit Agricole
Data Analyst
September 2023 - September 2024 (1 year)
Paris, France
Advanced analysis of the Parisian real estate market: I conducted an in-depth analysis of the historical evolution of real estate prices in Paris, using data science techniques such as linear regression to predict future asset valuation.
Innovation in real estate classification: I developed and implemented a cutting-edge technical solution for the automatic classification of real estate opportunities through unsupervised clustering, significantly improving the company's operational efficiency.
Monoprix
data Analyste
RETAIL (LARGE RETAILERS)
October 2022 - June 2023 (9 months)
Paris, France
Analysis and understanding of customer service needs: I
conducted a detailed analysis of customer interactions to
identify friction points and areas for improvement. I
used SQL for the analysis and manipulation of complex data,
to identify improvements for customer service.
Implementation and monitoring of Net Promoter Score (NPS): I
implemented a customer satisfaction measurement system via Net
Promoter Score, allowing for tracking satisfaction evolution and
quickly identifying areas for improvement.