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Magamou G.MG

Magamou G.

Data Analyst

€490/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Magamou

I am a Data Analyst Project Manager, passionate about data as a lever for decision-making and performance. For several years, I have been involved in complex data projects in demanding environments, particularly in the public, IT consulting, telecommunications, banking/insurance, and services sectors.

My expertise is based on three fundamental pillars:

1 - Business analysis, needs assessment, and key indicator modeling.

2 - Technical data exploitation, with strong experience in Power BI, SQL, and Python (automation, cleaning, transformation, predictive modeling).

3 - Project management, with a structured approach: team coordination, planning, deliverables, communication, and change management.

My technical expertise

Power BI (expert): modeling, advanced DAX, Power Query (M), publishing, workspaces, security (RLS), automatic refresh, performance.

Python (advanced): pandas, numpy, matplotlib, seaborn, scikit-learn, Excel/CSV file automation, APIs.

SQL (querying, complex joins, optimization)

BI/ETL Tools: Talend, Power Automate

Cloud & Databases: Azure, MySQL

Project Methodologies: requirements gathering, roadmap, specification writing, acceptance testing, documentation

My key achievements (concrete examples)

Power BI project for a large IT consulting group: industrialization of operational reporting for incident tracking, automation of the data pipeline (Python + Power Query), 80% reduction in report production time.

Support for an IT support department: creation of a volume prediction model (Python + Prophet) to anticipate activity peaks and adjust resources.

Data project manager for an IT consulting firm: implementation of a job offer database, cross-referencing with internal skills to automatically generate staffing recommendations (Power BI + Python).
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Consort Group,
    Data Analyst
    DIGITAL AND IT
    November 2021 - March 2025 (3 years and 4 months)
    Paris, France
    Mission 1: Consort Group for the management (11/21 – 08/22)
    • End-to-end data project management (scoping, prerequisites, development, validation, acceptance testing).
    • Analysis and visualization of data for regular reports to senior management (Dashboards and KPIs) to improve decision-making processes. Environment: Power BI, DAX, SQL, Talend, Project Management

    Mission 2: Société Générale (09/22 - 03/23)
    • Design and implementation of predictive models to improve call and ticket forecasts for the service desk on behalf of Société Générale to optimize the client's financial resources.
    • Development of AI tools to enable technicians to respond to messages without making mistakes. (Auto-correction).
    Environment: Python (Forecasting), Power BI, AI, DAX

    Mission 3: Axa (04/23 - 12/23)
    • Definition of data architecture and implementation of analytical solutions with Power BI and Python.).
    • Creation of a new tool for displaying predictions through the execution of Python scripts on Power BI (Python-Power BI connection) for a client to facilitate the use of Python scripts for non-initiates.
    Environment: Python, Power BI, Power Automate, SQL, Azure AutoML

    Mission 4: Consortia (01/24 - 07/24)
    • Scraping job offers from certain job sites with Beautiful Soup.
    • Database creation and cleaning (MySQL, Azure data factory).
    • NLP on job offers to identify the best offers.
    Environment: Python, NLP, Azure, SQL, Git

    Mission 5: Banque de France (09/24- 03/25)
    • Extraction, analysis, and visualization of Eloquant ticket and call data
    • Analysis of the Microsoft Exchange Mailbox connected directly to Power BI. Environment: Power BI, DAX, Excel, Microsoft Exchange, Project Management
  • FITEC
    Data Scientist and Decision Making
    EDUCATION AND E-LEARNING
    July 2021 - December 2021 (5 months)
    • Analysis of retail sales data to identify trends, patterns, and opportunities for sales performance optimization. Data collection and preprocessing, exploration to identify bestsellers and growth opportunities, customer segmentation, sales forecasting. Environment: Python (pandas, scikit-learn) Power BI SQL
    • Data Scientist and Decision Making

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Education

  • Scientific Doctorate
    University of Lorraine,
    2016
    Doctorat scientifique
  • Master II Process Engineering, Physics Chemistry for Engineering
    Sup Galilée, Paris 13 University,
    Master II Génie des Procédés, Physique Chimie pour l'Ingénierie

Certifications

  • Microsoft Power PL-300
    Microsoft Power BI

Skill set

Categories