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Moulay Abdellah El Idrissi El MrhariMA

Moulay Abdellah El Idrissi El Mrhari

Supermalter

Senior Data Scientist

€889/day
4 projects
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Moulay Abdellah

Civil engineer, I have over 12 years of experience in Data Science and quantitative finance. Throughout my career, I have acquired expertise in modeling and Machine Learning and Artificial Intelligence techniques, primarily applied for forecasting in the Energy and Finance sectors.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • ENGIE - Entreprises & Collectivités
    Senior Data Scientist
    ENERGY AND UTILITIES
    December 2019 - Today (6 years and 6 months)
    Paris, France
    Mission: Quantification of 'volume' risks related to gas consumption: Data analysis and development of consumption forecasting models.

    - Data retrieval, cleaning, and organization (Via API, database, flat files, Web Scraping…).
    - Reconciliation tools between CRM, Pricer, financial hedging data, and Distributor (GRDF) / Transporter (GRT & TIGF) flows.
    - Mid-Term forecasting models for profiled and remotely-read customers in the gas portfolio of Businesses & Collectivities (Back-Test volume and financial KPI).
    - Deployment of forecasting models.
    - Scaling of portfolio Re-Forecasts (100,000 customer Re-Forecasts per day).
    - Impact of climate change on portfolio consumption forecasts (Updating normals and recalculating CARs).
    - Reconciliation between CED Back-Office and Front-Office data (Logging of profiled consumption in flat and profile format and financial impact).
    - Study of Covid impact on the B2B gas portfolio (Volume impact during the 1st wave and portfolio clustering for calibration period selection).

    Technologies used:
    - For modeling and Data Analysis: R - Tidyverse.
    - For deployment: Azure, Docker, Plumber, Kubernetes.
    - For scaling: Spark - Databricks, R - Sparklyr - S3/AWS.
    Data science Data visualisation Data analysis Tidyverse Databricks
  • BNP Paribas
    Proprietary Trader
    BANKING AND INSURANCE
    January 2011 - February 2012 (1 year and 1 month)
    Paris, France
    Management of the 'Low Frequency' activity book: Strategy design, backtesting, implementation, and deployment.
    • Retrieval and organization of financial data (Prices, volumes, market capitalizations, dividends, recommendations…).
    • Development of 'StatArb' strategies (Proprietary trading using statistical models): Design, backtesting, and optimization.
    • Implementation and deployment of strategies in automated systems and order workflow management.
    Data science Data analysis Algorithmic trading Statistical modeling Python
  • Société Générale
    Proprietary Trader
    BANKING AND INSURANCE
    October 2006 - December 2010 (4 years and 2 months)
    Paris, France
    Management of the 'Low Frequency' activity book: Strategy design, backtesting, implementation, and deployment.
    • Retrieval and organization of financial data.
    • Development of 'StatArb' strategies.
    • Application of advanced statistical techniques such as Machine Learning.
    • Implementation and deployment in automated systems.
    Data science Data analysis Algorithmic trading Statistical modeling VBA

Reviews

5.0

Out of 1 rating

F

Fayçal

ENGIE - Entreprises & Collectivités

Reviewed on 1/15/2024

Expert consultant, with a great ability to grasp business subjects, mathematical rigor, and impressive analytical skills!

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Education

  • Engineer
    Ecole Nationale des Ponts et Chaussées
    2006
    Ingénierie Mathématiques et Informatique

Skill set

Categories