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Valdi MayimaVM

Valdi Mayima

Data Analytics

400 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Valdi

With a Master's degree in Financial Engineering from Université de Rennes and a solid background in quantitative finance, I am currently leveraging my expertise as a Data Consultant at a consulting firm.

Here, my core competencies shine through as I navigate the complexities of logistics, finance, accounting, and operations for an Oil and Gas client. My toolkit includes proficiency SQL, Python and Microsoft Power BI, allowing me to deliver actionable insights across various business domains.

  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

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

Expériences

  • CGI
    Data consultant
    mars 2022 - Aujourd'hui (4 ans et 3 mois)
    Lyon, France
    Working within Build team dedicated to customers of Swiss market (Oil and Gas company) as a Data consultant accros multiple areas : Logistics, Finance, Accounting, Operations, middle office, Sales and Trading
    - English working environment.
  • Financial Shared Brains
    Financial Market Analyst
    novembre 2021 - janvier 2022 (2 mois)
    Paris, France
    FSB is a non-profit association that shares informative articles and analyses on the financial markets. It is run by young professionals and students from the French financial sector.
  • Groupama Centre Manche
    Data analyst
    septembre 2020 - septembre 2021 (1 an)
    Caen, France
    As part of the development of the commercial activity in the Centre Manche region, the commercial activity support team was responsible for meeting the needs of the sales and marketing teams in terms of providing dashboards for the management of the activity.

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Formations

  • Master Ingénierie économique et financière
    Université de Rennes 1
    2021
    - Datamining banking and financial risks: Building machine learning models for risk scoring with R - Database management with SAS and SQL - Data analysis (quantitative and qualitative) using unsupervised learning models (principal component analysis, ACM, clustering) for segmentation with - Quantitative methods for market finance: Econometrics of finance (Value at Risk modelling of an asset portfolio and backtesting of models) - Stochastic calculus applied to finance (arithmetic and geometric Brownian motion, EDS, Black & Scholes model, Pricing of American and European options in the binomial model with python)

Certifications

  • Microsoft Azure Data Fundamentals
    Microsoft
    2022
    Extraire, transformer, charger (ETL) Microsoft Power BI Transact-SQL (T-SQL) Microsoft Azure Modélisation des données Conception de bases de données
  • Microsoft Power BI Data Analyst
    Microsoft
    2022
    Microsoft Power BI Modélisation des données SQL Server

Compétences (9)

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