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Kheir Eddine K.KE

Kheir Eddine K.

Data Analyst 📊 | Expert BI, SQL, Python 🚀

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Kheir Eddine

Big Data Engineer, expert in Business Intelligence and data analysis

I support companies like Bouygues Telecom, La Banque Postale, and Aviva in optimizing their decision-making processes through advanced mastery of Power BI, SQL, and data modeling. I design interactive dashboards and high-performance data architectures to accelerate decision-making and improve data quality.

Passionate about data valorization, I master ETL, DWH, and Cloud tools and architectures, facilitating the industrialization and exploitation of strategic data. My expertise allows me to transform data into concrete performance levers for your company.

I am ready to take on new challenges as a Data Analyst / BI Consultant, with an approach focused on efficiency, performance, and impact.

This version is more direct, more impactful, and adopts a more assertive posture. It highlights your expertise and active role rather than simply describing your background.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

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

Experience

  • Bouygues Telecom
    Data Analyst
    TELECOMMUNICATIONS
    September 2021 - February 2025 (3 years and 6 months)
    Vélizy-Villacoublay, France
    Bouygues Telecom, a French telecommunications operator, offered me the opportunity to evolve within the Central Engineering Department (DCI). I first worked as a BI developer before taking on a dual role of Product Owner and developer within the Data team.

    • Needs analysis and product management:
    o Gathering and formalizing business needs for the design of BI solutions under Power BI.
    o Defining product vision, roadmap, and prioritizing developments.
    • Data modeling:
    o Design and optimization of data models (star/snowflake schema) to improve performance.
    • Dashboard and reporting development:
    o Performance optimization with DAX and Power Query.
    o Creation of interactive and dynamic dashboards in Power BI.
    • Data flow automation (ETL):
    o Development of Python scripts (pandas, numpy, scipy) for data extraction and transformation.
    o Design and automation of ETL pipelines with Talend.
    • BI project management & agility:
    o Tracking BI projects via Jira using Agile/Scrum methodology.
    o Coordination with technical and business teams to ensure the delivery of BI solutions.
    • Database administration & SQL:
    o Management and optimization of databases under SQL Server (SSMS).
    o Writing and optimizing complex SQL queries
    • Technical support and BI RUN:
    o Maintenance and supervision of BI applications, incident management (L3).
    o Performance improvement and troubleshooting of data flows and dashboards.
    Microsoft Power BI Python Agile Methodology Team Leader Power BI DAX Power Query SQL Server Management Studio (SSMS) Talend Jira
  • CNIM
    Data Analyst & Software Engineer
    ENERGY AND UTILITIES
    June 2020 - August 2021 (1 year and 3 months)
    DubaĂŻ, United Arab Emirates
    CNIM, a company committed to the energy recovery of waste, participates in projects, particularly Waste-to-Energy installations. Within the Commissioning team, I held the role of Data Analyst & Software Engineer.

    • Development of an application under Ninox:
    o Design and structuring of a database for site monitoring.
    o Development of interactive interfaces for project management.
    o Automation of data entry and processing through scripts
    • Data analysis and visualization:
    o Integration and transformation of data from site monitoring into Ninox.
    o Development of advanced queries and performance indicators (KPIs).
    o Creation of dynamic dashboards to track project status.
    • Automation with VBA (Excel & Word):
    o Excel:
    ď‚§ Development of advanced VBA macros to automate data collection, processing, and analysis.
    ď‚§ Automatic generation of dashboards and real-time reports.
    ď‚§ Management of data imports/exports between Excel and other sources

    o Word:
    ď‚§ Automation of the creation of site documents and reports
    ď‚§ Integration of dynamic templates for rapid document generation.
    ď‚§ Optimization of formatting and field population.
    Development Ninox CMS VBA Python Microsoft Excel Microsoft Word
  • Thales
    Data Analyst & Data Engineer
    SPORTS
    July 2019 - June 2020 (11 months)
    Vélizy-Villacoublay, France
    Thales, a French multinational company recognized for its expertise in information processing, offered me the opportunity to collaborate on the Data Sport project.

    • Biometric and GPS data acquisition and storage:
    o Extraction of data (distance, speed, heart rate) from smartwatches via API or raw files.
    o Storage and processing of data in a cloud environment (AWS S3, EC2) for scalable analysis.
    • Data preparation and transformation:
    o Data cleaning and normalization with pandas.
    o Automation of ETL flows to optimize the structuring of datasets.
    • Advanced analysis under Python:
    o Statistical analysis with pandas, numpy, and scipy to extract key trends and metrics.
    o Data processing and execution of analyses in a cloud environment.
    • Visualization and reporting:
    o Creation of interactive dashboards with matplotlib, seaborn, plotly for better data interpretation.
    o Automatic generation of analysis reports accessible from the cloud.
    • Machine Learning & Clustering:
    o Implementation of clustering models (K-Means, DBSCAN) to group runners based on their performance.
    o Deployment and execution of models on a cloud infrastructure
    Python Amazon Web Services Elasticsearch Logstash Kibana PostgreSQL MongoDB Linux REST APIs Postman

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Education

  • Engineering Degree
    ESILV
    2019
    Ingénieur spécialisé en Data, diplômé de l'ESILV (École Supérieure d'Ingénieurs Léonard de Vinci) avec une spécialisation pointue dans l'analyse de données. Grâce à mon parcours à l'ESILV, j'ai acquis une solide maîtrise des technologies telles que Power BI, Qlik Sense, ainsi que des bases de données SQL et NoSQL. De plus, mes compétences avancées en Python, notamment avec les librairies Pandas et Scikit Learn, ont été affinées au cours de mes études. Je suis prêt à relever de nouveaux défis dans le domaine de l'analyse de données.

Skill set (46)

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