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Pierre Alexandre FumatPA

Pierre Alexandre Fumat

Data Analyst | Power BI | SQL | Python | Business

€600/day
3 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Pierre Alexandre

Hello Malters,

I am a Data Analyst & Business Intelligence Consultant, specializing in transforming data into decision-support tools.

During my experiences in the United States and France, I have assisted companies in designing interactive dashboards, automating reporting, and analyzing data to improve their performance and facilitate decision-making.

I work on the entire data value chain:

📊 Business Intelligence
Creation of interactive and intuitive Power BI dashboards
Design of high-performance data models
Development of KPIs and business indicators
Automation of reports and processes

📈 Data Analytics
Sales performance analysis
Behavioral analysis and customer segmentation
Cohorts, retention, and churn
A/B Testing and statistical analysis
Marketing analysis and performance tracking

🤖 Data Science & Machine Learning
Development of predictive models with Python and BigQuery ML
Forecasting and trend detection
Large-scale data analysis
Cleaning, preparation, and exploitation of complex datasets

🛠️ Technologies

Power BI • SQL • Python • BigQuery • Excel • Power Query • DAX • Google Cloud • Tableau

My goal is simple: to transform your data into clear, reliable, and directly actionable information for your decisions.

I place particular importance on the quality of deliverables, communication with my clients, and adherence to deadlines.

Do not hesitate to contact me to discuss your project. I will be delighted to assist you in the success of your analyses and your Business Intelligence projects.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • Erdyn
    Malt logoOn Malt
    Data Analysis
    November 2024 - November 2024
    Boston, MA, États Unis
    I analyzed a large volume of food consumption data using SQL on BigQuery to facilitate data processing. I extracted and structured relevant KPIs, delivering precise results within deadlines, while adapting to client needs with responsiveness.
    Python (Programming Language) Big Query Pandas Business analysis Data visualisation Data science Data analysis Statistics SQL
  • Breezeline
    Business Intelligence Analyst
    TELECOMMUNICATIONS
    January 2024 - Today (2 years and 6 months)
    As a BI analyst at Breezeline, my role was to improve our churn model and create new dashboards in Tableau to facilitate data sharing within the company. I was also responsible for identifying new actionable data to use as variables for our various predictive models, as well as implementing alert systems for anomalies concerning customer numbers, products, or other indicators. Additionally, I participated in tasks related to generative artificial intelligence to exploit previously untapped data.
  • Get Circle
    Data Engineer/Scientist/Analyst
    E-COMMERCE
    November 2021 - November 2021
    Paris, France
    Creation of ETL and APIs for data collection, followed by analysis of user profiles on the platform and more...
    SQL Python Google Data Studio Pandas Numpy API JSON

Reviews

5.0

Out of 1 rating

P

Patrick

Erdyn

Reviewed on 4/15/2025

The analysis of the very large volume of our food consumption data required the work of a data analyst. Pierre-Alexandre demonstrated remarkable SQL expertise, extracting relevant calculations where Excel proved powerless. His efficiency was greatly appreciated, delivering precise results within the given deadlines. His flexibility was also valuable, adapting to our needs and constraints with great responsiveness. We highly recommend his services to any company facing complex data analysis challenges.

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Education

  • Data Analyst
    DataBird
    2021
    Une formation très complète sur la data analyse, la data science, et la data visualisation, en passant par le scrapping de données et le machine learning. Apprentissage en profondeur des languages de programmations comme SQL et Python et aussi des library comme Pandas, Numpy, Seaborn, Matplotlib et bien d'autres.

Skill set

Categories