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Henri GardyHG

Henri Gardy

Data & AI Engineer | Finance & Analytics

300 €/jour
Paris, FR
0-2 ans

Délai de réponse moyen : 1h

À propos de Henri

CentraleSupélec engineering student with hands-on experience at the crossroads of data, AI, and finance. Former intern at PwC Transactions Services (financial due diligence) and LVMH/Christian Dior Couture (digital transformation), with two applied AI & data projects delivered for real companies.

I help businesses create data tools designed for everyday use: automated dashboards, financial models, ML pipelines, and analysis that drives decisions. Whether you need a Python script, an Excel model, a computer vision prototype, or a fully automated dashboard and reporting interface, I deliver clean, documented, actionable work.

Available for short to medium-term freelance missions in data analysis, financial modeling, dashboard building, or AI-assisted automation.

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Étudiant ingénieur à CentraleSupélec, avec une expérience concrète à l'intersection de la data, de l'IA et de la finance. Ancien stagiaire chez PwC Transactions Services (due diligence financière) et LVMH/Christian Dior Couture (transformation digitale), avec deux projets data & IA livrés pour de vraies entreprises.

J'aide les entreprises à créer des outils data conçus pour un usage quotidien : tableaux de bord automatisés, modèles financiers, pipelines ML, et analyses qui orientent les décisions. Que vous ayez besoin d'un script Python, d'un modèle Excel, d'un prototype de vision par ordinateur, ou d'un tableau de bord et d'une interface de reporting entièrement automatisés, je livre un travail propre, documenté et actionnable.

Disponible pour des missions freelance courtes à moyennes en analyse de données, modélisation financière, construction de dashboards ou automatisation assistée par IA.
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Espagnol

    Notions

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • CentraleSupélec x Baton Rouge
    Financial Data Analyst | Modélisation Excel, Projections & Dashboards
    MODE & COSMÉTIQUES
    novembre 2025 - mars 2026 (4 mois)
    Paris, France
    As part of a CentraleSupélec x Baton Rouge Paris project (a French custom cosmetics brand), I designed and automated a comprehensive financial performance tracking tool covering 5 years of activity (2021–2026).
    Key contributions: daily revenue tracking (in-store + e-shop), P&L modelling with N+7 projections, multi-year monthly cash flow monitoring (inflows/outflows, loans, BPI repayments), KPI computation (working capital, break-even point, margins), and sector benchmarking against Typology and Le Rouge Français.
    Deliverable: a dynamic Excel dashboard enabling the founder to anticipate cash flow needs, monitor growth, and prepare for a fundraising round.
    Microsoft Excel Analyse de données Programmation Python Analyse financière
  • CentraleSupélec x Algama
    AI & Data Engineer – Computer Vision & Deep Learning | Biotech
    BIOTECHNOLOGIES
    septembre 2025 - Aujourd'hui (9 mois)
    Paris, France
    As part of a CentraleSupélec x Algama project (biotech startup specializing in microalgae-based food ingredients), I developed an AI pipeline to automatically detect and classify lysed microalgae cells from microscopy images.

    The technical stack included Meta's Segment Anything Model (SAM) for cell detection, iteratively refined through image tiling and parameter tuning, and a fine-tuned ResNet-18 classifier to categorize cells by lysis state. I also benchmarked alternative approaches (YOLOv8, Detectron2) and collaborated with an external computer vision researcher to validate the methodology.

    Deliverable: a fully automated cell analysis pipeline replacing slow, error-prone manual counting, enabling faster and more scalable characterization of the industrial lysis process.
    intelligence artificielle Machine learning Interfaces Python
  • PwC
    Intern
    BANQUE & ASSURANCES
    janvier 2025 - juin 2025 (6 mois)
    Paris, France
    • Financial due diligence in the automotive distribution industry. Took care of trade receivables/payables aging, net debt, FTE and below EBITDA analysis (€42m EBITDA and 50 legal entities across spare parts distribution, impoundment, reconditioning, and dismantling)
    • Financial due diligence in the electricity reselling business. Took care of P&L, trade receivables/payables aging, free cash flow and analytical review for quality of earnings
    • Financial due diligence in the wind power industry. Prepared balance sheet, net working capital breakdown and free cash flow (€32m EBITDA, 26 wind farms)
    Microsoft Excel Analyse financière Analyse de données Transaction Services

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Formations

  • Engineering School (Generalist)
    Ongoing CENTRALE SUPELEC
    2022
    Engineering School (Generalist)
  • UPM – ETSIAE Exchange program
    Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio
    2024
    UPM – ETSIAE Exchange program

Compétences

Catégories