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Alann GoerkeAG

Alann Goerke

Data Scientist | Machine Learning | Python

€350/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Alann

Data Scientist Consultant for nearly 1 year, passionate about Data Science and entrepreneur, I have carried out various missions for large groups in the luxury watch, cosmetics, and automotive industries. My field of expertise mainly includes data analysis and science. I wish to help companies and individuals benefit from their data through impactful analyses, predictions, and guide them in this digital transformation.
  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Argon & Co
    Junior Data Scientist Consultant - Iris by Argon & Co
    CONSULTING AND AUDITS
    July 2022 - Today (3 years and 11 months)
    Levallois-Perret, France
    Client Projects:
    - Improvement of a Power BI architecture enabling the analysis of past sales and decision-making for future global orders in the cosmetics industry.
    - Supply Chain Consulting: Planning and scheduling in the luxury watch industry.

    Internal Projects:
    - Evaluation of the behavior of Machine Learning models (Ensemble Learning) on time series profiles (trend, seasonality, event management, product launch/end-of-life/turnover).
    - Creation of Power BI Dashboards.
    - Creation of a new client version upgrade process based on migration scripts (Data Engineering).
    Python Machine learning Microsoft Power BI Consulting Azure DevOps Time Series Powershell
  • Stellantis
    R&D Engineer - Apprenticeship
    MECHANICAL ENGINEERING
    September 2018 - August 2021 (3 years)
    Vélizy-Villacoublay, France
    Research & Development - Model reduction for crash

    Modeling of automotive crashes using finite elements and optimization under a set of constraints:
    - Design of parameterized models for electric vehicles (SFE).
    - Automation using Python of a procedure to generate the finite element mesh (Radioss) of a concept based on the chosen parameter set, then launch the numerical crash simulation (side impact), and finally perform post-processing.
    - Implementation of the Bayesian global optimization method (generation of a training dataset, construction of a metamodel using Kriging).

    Search for the optimal vehicle architecture (estimation of range, mass, cost, geometry) meeting future environmental criteria.
    - Creation of a database: several hundred vehicles.
    - Data management and analysis.
    Python Microsoft Office Powershell VBA Bash

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Education

  • Specialized Master in Big Data: Management & analysis of massive data
    Institut Polytechnique de Paris - Télécom Paris
    2022
    Cours suivis : - Statistiques, Apprentissage statistique et fouille de données, Machine Learning, Deep Learning. - Framework Hadoop, systèmes répartis pour le Big Data - Bases de données relationnelles et non relationnelles, internet des objets, sécurité pour le Big Data. - Intelligence artificielle et sciences des données : enjeux éthiques, sociaux et économiques. Projets réalisés : - Analyse prédictive dans le football : Prédiction du poste d'un joueur de football en fonction d'évènements, sur la première moitié de saison 2016 - 2017. (Analyse en composante principale, K-means, Dbscan, théorie des graphes) - Analyse des données du Vendée Globe 2021 Acquisition, chargement, préparation et analyse des données (BeautifulSoup, Scikit-Learn). - Implémentation de Hadoop MapReduce from "scratch". Comptage de mot répartis sur plusieurs machines en réseau sur des fichiers volumineux.
  • Engineering Degree, Industrial Engineering
    ISAE Supmeca - Paris Institute of Mechanics
    2021
    Formation d’ingénieur en alternance, avec une spécialisation mécatronique lors des deux dernières années. Cours suivis durant ces trois années : - Sciences de l'information et mathématiques : Analyse, calcul matriciel, programmation (Python, C), Statistiques. - Sciences de l'ingénieur : Mécanique (des solides, des surfaces, vibratoire), science des matériaux, analyse numérique, traitement du signal, électronique, thermique. - Sciences de l'entreprise et du management : Gestion financière, gestion des flux, qualité, droit du travail. - Méthodes et technologies pour l'ingénierie système : Systèmes mécatroniques, gestion de projet, métrologie, plan d'expériences.

Certifications

  • TOEIC 905 (max 990)
    ETS Global
    2020
    English

Skill set

Categories