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Valentin DelahayeVD

Valentin Delahaye

Data Scientist, Machine Learning Engineer

550 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Valentin

8 ans d'expérience professionnelle
👉 Co-fondateur & CFO @ Enovap (e-cigarette intelligente et connectée) - 6,5M€ de financement, 20 employés.
👉 Data Scientist @ Enovap - 3 ans de R&D, 30 k+ utilisateurs, 20 M+ données de consommation collectées.
👉 Private Equity & Debt Analyst @ Trocadero Capital Partners
👉 Contrôleur de gestion @ Crédit Agricole

Ingénieur de formation, j'ai vécu une première expérience entrepreneuriale enrichissante humainement et professionnellement, où j'ai pu gérer la partie business/finance du projet tout en travaillant sur les aspects d'intelligence artificielle et de data science.

Passionné par la data, j’ai récemment réalisé un master en Data Science pour (i) renforcer mes compétences techniques en tant que Data Scientist en apprenant à mettre en place un pipeline MLOps et (ii) obtenir le titre officiel de Chef de projet IA.

Je recherche actuellement des missions freelance en tant que Data Scientist, Machine Learning Engineer.
  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Freelance
    Financial & Data Consultant
    janvier 2021 - Aujourd'hui (5 ans et 5 mois)
    Paris, France

    - Financial strategy, Business Plan & Data consulting for start-ups
    - M&A sell-side consulting : Negotiation & valuation of a biologist associate's equity shares in a French medical analysis laboratories company. Price obtained for his shares : 7M€ (+57% compared to the initial proposal)
  • Enovap
    Co-founder, CFO & Data Scientist/Machine Learning Engineer
    janvier 2015 - décembre 2022 (7 ans et 11 mois)
    Île-de-France, France
    Enovap is a customer-focused healthcare company developing unique and innovative «e-cigarette type» nicotine products to effectively help wean-off its consumers from cigarette smoking and from their nicotine addiction. CFO: Business Strategy, Finance, Administrative & Human Resources management
    - Forecasting and budgeting, managing financial risk, developing financial policies and procedures
    - Producing financial statements, cash flow reports and other financial analysis, managing investor relations
    - Administrative & HR Management 6,5M€ in funding (3.5 in equity, 2.5 in public & private loans, 0.5 in grants), 20 employees Data Scientist, Machine Learning Engineer:
    - Multiple linear regression models (i) to calibrate the vaporizer power management system to allow manual adjustment of nicotine concentration and (ii) to determine the nicotine quantity vaporized
    - Recurrent Neural Network (LSTM) to predict future nicotine needs of a user (auto mode)
    - Skills & Knowledges: Python, Pandas, Numpy, Scikit-learn, Tensorflow, MongoDB, RGPD, Health Data Center (OVH) 3 years of R&D, 30 k+ users, 20 M+ vape data collected Awards and distinctions:
    - Laureate I-LAB 2017 by the French Minister of Innovation & Education and BPI France
    - Seal of Excellence H2020 by the European commission
    - Top 100 French Tech best inventors by Forbes
    - Top 20/500 Mass Challenge Boston USA
  • Trocadero Capital Partners
    Private Equity & Debt Analyst
    avril 2015 - novembre 2015 (7 mois)
    Île-de-France, France
    European Small & Mid-market companies Within a €120M Private Debt/Equity fund :
    - Financial analysis and modeling,
    - Drafting of investment notes,
    - Investment research,
    - Portfolio analysis.

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Formations

  • AI Project Manager, Machine Learning Engineer, Data Scientist (co-certified by DataScientest)
    Mines Paris
    2023
    AI Project Manager, Machine Learning Engineer, Data Scientist (co-certified by DataScientest)
  • Master of Science (M.Sc.), Financial Engineering, Computer and Information Sciences, Innovation and Entrepreneurship
    ECE PARIS
    2015
    Master of Science (M.Sc.), Financial Engineering, Computer and Information Sciences, Innovation and Entrepreneurship

Certifications

Compétences (23)

Catégories