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Léo CharlesLC

Léo Charles

Data Analyst | Python, SQL & Power BI

€350/day
1 project
Rennes, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Léo

🎯 You have data, but don't know how to leverage it effectively? I help you transform it into strategic insights to optimize your decision-making and boost your performance!

✅ Data analysis, transformation, and modeling
✅ Creation of dynamic and interactive dashboards (Power BI, Tableau, Looker Studio)
✅ Optimized SQL queries to extract relevant data
✅ Automation of analyses for efficient and effortless reporting
✅ Advanced segmentation and visualization to identify trends and opportunities

💡 What I bring you:

📊 A clear vision of your data to improve your performance
📈 Actionable dashboards that facilitate decision-making
⏳ Time savings through tailor-made automations
📢 Data-driven storytelling to convince your teams and clients

🛠 Tools and technologies mastered:

SQL (PostgreSQL, MySQL, BigQuery, Snowflake)
Python (Pandas, NumPy, Matplotlib, Seaborn)
Power BI, Tableau, Looker Studio
Advanced Excel (Power Query, VBA)

🎯 My goal: To provide you with precise and impactful analyses to help you make the best decisions.

📩 Let's discuss your project! Contact me for an initial, no-obligation discussion.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Rennes (up to 50km)

Experience

  • Ceva Santé Animale
    Data Engineer
    PHARMACEUTICALS INDUSTRY
    April 2025 - June 2025 (2 months)
    Implementation of a complete ELT pipeline, aimed at extracting, storing, and creating real-time insights from data from connected machines
    Docker Airflow PostgreSQL React.js
  • Bottleneck
    Sales Analysis and Strategic Recommendation
    November 2024 - November 2024
    🔧 Tools used: Python (Pandas, Matplotlib, Seaborn), Jupyter Notebook

    • Exploratory sales analysis to identify factors influencing commercial performance.
    • Processing and cleaning data in Python to ensure its quality and consistency.
    • Trend visualization using Matplotlib and Seaborn, helping to identify bottlenecks in the sales process.
    • Implementation of strategic recommendations based on data analysis to optimize revenue.
    • Simulation and modeling of the impacts of sales optimization on the overall performance of the fictional company.
    💡 Result: Presentation of a data-driven recommendations report to improve sales strategy and resolve identified bottlenecks.
  • La Poule qui chante
    Market Research and Country Segmentation for International Expansion
    December 2024 - December 2024
    🔧 Tools used: Python (Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn), Jupyter Notebook

    • Conducting market research for a food company wishing to expand internationally.
    • Cleaning and exploratory analysis of FAO data to select relevant indicators.
    • Country segmentation using clustering methods: Hierarchical Ascending Classification (HAC) and K-Means.
    • Principal Component Analysis (PCA) to synthesize information and visualize relationships between variables.
    • Strategic recommendations to target the most promising areas for the company's international expansion.
    💡 Result: Identification of country groups with similar economic and agricultural characteristics, enabling optimized decision-making for company expansion.



Reviews

5.0

Out of 1 rating

O

Olivier

Olivier PAMBOU

Reviewed on 5/11/2025

Very good and competent person

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Education

  • Data Analyst
    OpenClassroom
    2024
  • Master Big Data
    Sup de Vinci
    2025

Certifications

Skill set

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