About Kheir Eddine
French
Native or bilingual
English
Fluent
Spanish
Conversational
Experience
- Bouygues TelecomData AnalystTELECOMMUNICATIONSSeptember 2021 - February 2025 (3 years and 6 months)Vélizy-Villacoublay, FranceBouygues 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. - CNIMData Analyst & Software EngineerENERGY AND UTILITIESJune 2020 - August 2021 (1 year and 3 months)DubaĂŻ, United Arab EmiratesCNIM, 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: Development of advanced VBA macros to automate data collection, processing, and analysis. Automatic generation of dashboards and real-time reports. Management of data imports/exports between Excel and other sourceso Word: Automation of the creation of site documents and reports Integration of dynamic templates for rapid document generation. Optimization of formatting and field population. - ThalesData Analyst & Data EngineerSPORTSJuly 2019 - June 2020 (11 months)Vélizy-Villacoublay, FranceThales, 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
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Education
- Engineering DegreeESILV2019Ingénieur 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.