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Axel Le CoqAL

Axel Le Coq

Data Analyst & Engineer 📊 AI Agent Builder đŸ€–

€800/day
5 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Axel

Freelance Data & AI Consultant — I design modern data architectures and AI agents for growing SMEs and mid-cap companies.Ex-IBM & mc2i.

⭐ +40 Data & AI clients: HermĂšs, Carrefour, GRDF, AXA, Chanel, Values Media, and others

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👉 Recent Data & AI Projects:

🧼Media Agency Modern Data Stack— BigQuery + dbt + Looker Studio — 5 sources centralized, 40h/month eliminated
🏭Industrial Group Data & AI Audit— strategic scoping, 8 use cases identified, 200h/month savings
💾e-commerce Shopify/Sage Financial Flow Reconciliation AI Agent— 95% of accounting work eliminated
đŸ€–SEO/LinkedIn Content Generation AI Agent— production x10, writing cost Ă·5

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🎯 Data & AI Expertise Domains:

‱ Modern Data Stack— data centralization, data pipelines, data transformation, data modeling (BigQuery, dbt, Airbyte, Fivetran)
‱ Dashboard & Reporting— Looker Studio dashboards, Power BI dashboards, Tableau dashboards, Metabase dashboards, automated reporting
‱ AI Agent & Intelligent Automation— reconciliation AI agent, content generation AI agent, conversational AI agent (Claude API, OpenAI, n8n, Python)
‱Data & AI Audit— data maturity audit, AI strategic scoping, data & AI transformation roadmap

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đŸ› ïžData & AI Stack:
BigQuery · dbt · Python · Claude API · OpenAI · n8n · Airbyte · Fivetran · Looker Studio · Power BI · Tableau · Airtable · SQL · Make

💬 First consultation is free — let's discuss your Data & AI project.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

Can work on-site
Paris (up to 15km)

Experience

  • HomĂ©lior
    AI Agent & Custom Airtable ERP for an Energy Renovation Company
    ENERGY AND UTILITIES
    July 2025 - May 2026 (10 months)
    Paris, France
    Built for Homélior a centralized Airtable platform to onboard 40 employees (compliance, finance, legal, sales admin, customer service, account management) with an architecture ready for an administrative control AI agent.

    - Context: each department managed its files in Excel in silos, partners had no visibility on progress, financial indicators were calculated manually
    - Multi-department Airtable base with fine-grained permissions by role, modeling of regulatory workflows
    - Airtable Interfaces finance intranet and Looker dashboard on BigQuery
    - Make and n8n synchronizations between Pixel (business tool for energy efficiency certificates), Airtable, Softr, and Google Workspace
    - Architecture designed to host an administrative control AI agent without disrupting existing processes: sending files via API, returning compliance decisions in Airtable, coexistence with manual control

    Results

    - 40 employees onboarded, compartmentalized roles and cross-functional view of each file
    - Significant decrease in partner emails thanks to Softr self-service
    - Real-time financial indicators on invoices, etc.
    - No manual transfer errors between Pixel, Airtable, Softr, and Looker
    - Architecture ready for C1 AI agent, progressive deployment without disruption
    Airtable n8n AI Agent BigQuery dbt
  • Scania
    Two-Phase AI Training for a Manufacturer's Marketing Team
    AUTOMOBILE
    July 2025 - February 2026 (7 months)
    Le Mans, France
    Mission
    Designed and delivered an AI training program for the 7 marketing and communication employees at Scania France.
    Program structured in two phases, spaced 7 months apart.

    Phase 1:
    • Overview of LLMs (ChatGPT, Claude, Mistral, Perplexity)
    • Three levels of prompting practiced on the team's real use cases
    • Microsoft Copilot session
    • Collective AI roadmap workshop
    Phase 2:
    • 7 individualized tracks (content production, visual creation, GA4, Scania agents)
    • Collective Airtable automation project for managing the 24 Hours of Le Mans project

    Results
    - 7 employees trained on fundamentals and then supported individually
    - Collective AI roadmap delivered on the first day
    - Airtable automation operational for the 24 Hours of Le Mans
    AI Training Claude Airtable AI Roadmap Prompt Engineering
  • SVR
    Shopify x Sage X3 Data Pipeline for a Dermocosmetics Laboratory
    E-COMMERCE
    October 2024 - December 2025 (1 year and 2 months)
    Paris, France
    Mission
    Implemented a daily data pipeline to integrate over 45,000 Shopify orders into Sage X3 without a native API connector.
    • Airbyte → BigQuery → dbt → n8n → Sage FTP Architecture
    • Business rules modeled in SQL:
    - item-by-item decomposition of fixed and variable bundles
    - proportional discount allocation
    - multi-currency handling
    - generation of customer codes by country/currency/segment/channel
    • Construction of the reconciliation table cross-referencing ordered (Shopify), shipped (Bigblue), and invoiced (Sufio)
    • Automatic discrepancy detection

    Results
    • Over 45,000 orders integrated with no manual reprocessing
    • Reconciliation of ordered/shipped/invoiced for each order
    • Consolidated revenue calculated automatically each month
    BigQuery n8n Shopify SQL dbt

Reviews

5.0

Out of 2 ratings

LouisL

Louis

Hyperstack

Reviewed on 1/5/2024

I contacted Axel to create a dashboard to track my marketing and sales data. He successfully collected and transformed the data to create several reports that are very useful to us. We can now track various indicators such as the ROI of our Ads, the conversion rate based on our lead sources, etc. I highly recommend Axel for his skills and efficiency (it took him less than a week to create my reports). Thank you Axel! âšĄïž
J

Jeremy

SARL VILLANOVA REALTY

Reviewed on 1/4/2024

I asked Axel to help me create a business performance dashboard using Microsoft Excel. He was very responsive, proactive, and brilliantly completed the task in record time. My data is now very clear and allows me to make strategic decisions more easily. I recommend Axel without hesitation.

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Education

  • Master of Information System Management
    IÉSEG School of Management
    2020
    Master's degree, Management of Information Systems (Data Analysis)
  • BaccalaurĂ©at, Scientific
    Lycée Albert de Mun
    2015
    Baccalauréat, Scientifique

Certifications

Skill set

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