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Abdellah M.AM

Abdellah M.

Consultant Data & AI & Business Analytics

150 €/jour
Paris, FR
0-2 ans

Délai de réponse moyen : 1h

À propos de Abdellah

Graduate AI Engineer with strong expertise in Machine Learning, NLP, and Computer Vision, combining research oriented projects with real-world consulting experience.
Experienced in end-to-end ML pipelines, Databricks, and production-grade systems. Seeking an AI/ML role to build scalable, high-impact intelligent solutions.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Arabe

    Bilingue ou natif

  • Allemand

    Capacité professionnelle limitée

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

Expériences

  • Ekimetrics
    Consultant Data & Business Analytics
    HIGH TECH
    juin 2025 - décembre 2025 (6 mois)
    Paris, France
    - Designed and deployed a production pricing engine on Databricks, integrated with Salesforce and AWS S3.
    - Automated the PnL forecasting process (PnL 2.0) for deals to predict profitability and price elasticity.
    - Modeled cost and revenue structures to improve data granularity and business segmentation accuracy by 60%.
    - Led client workshops to align objectives, KPIs, and analytical scope for data-driven decisions with stakeholders.
    Databricks Data base Salesforce AWS S3 Microsoft Excel
  • INERIS
    Data Science & Acoustic Signal Classification
    HIGH TECH
    avril 2024 - août 2024 (4 mois)
    Grand Est, France
    - Preprocessed acoustic signals using filtering, feature extraction, collinearity analysis, and PCA.
    - Trained and compared machine learning models—RF, SVM, XGBoost, and CNN—on spectrogram inputs.
    - Applied regularization and cross-validation to minimize overfitting with Recall as the main metric.
    - Optimized models via GridSearch, applied data augmentation for minority classes, and used stratified splits.
    Deep Learning Machine learning Traitement du signal Data visualisation CNN

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Formations

  • General engineering - Data science and financial mathematics field
    Institut Mines-Télécom Atlantique
    2025
    - M1: Cloud Computing, Network Fundamentals, Cryptology, DevOps, Network Virtualization, Digital Platforms. - M2: Empirical Finance, Quantitative Portfolio Management, Probability and Statistics, Advanced C++.
  • International Academic Exchange - Data science and Business field
    Chulalongkorn University
    2025
    - Technical Courses : Stochastic Models – Markov Chains, Digital Image Processing, Data Science & AI. - Business & Innovation Courses : Engineering Economy Applications, High-Tech Entrepreneurship.

Certifications

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