About Abdallah Salihou
- Design hybrid data architectures (Cloud & On-Prem – GCP, Azure, Oracle) to make your flows reliable and scalable.
- Automate ETL/ELT pipelines, reducing processing costs and freeing up your teams for high-value tasks.
- Develop custom BI dashboards (Power BI, Tableau, Looker Studio) for clear, real-time monitoring.
- Implement Machine Learning & AI models (Python, scikit-learn) to anticipate your needs and optimize your operations.
- Data governance and quality, to ensure reliable and actionable analyses.
- More reliable forecasts to secure your decisions.
- Operational time savings thanks to automated reporting.
- Controlled costs through optimized flows and pipelines.
- Better adoption of data solutions by business units, as they are clear and adapted.
- 360° Vision: experience in large corporations and startups → I know how to combine rigor, agility, and pragmatism.
- Transversal Leadership: I know how to unite business units, IT, and decision-makers around common goals.
- Concrete Impact: I ensure that every delivered solution is understood, adopted, and measurable in results.
French
Native or bilingual
English
Fluent
Experience
- EDF (Électricité de France)Lead Data Analytics / Senior Data AnalystENERGY AND UTILITIESDecember 2024 - July 2025 (7 months)Paris, FranceMission:Optimize the analytical monitoring and performance of B2B customer relations centers.
- Led a transverse data team covering 8 customer relations centers in France.
- Designed a hybrid data warehouse (GCP, Azure, Oracle) based on the Medallion architecture.
- Developed predictive models to improve interaction forecasts → reduced forecast error and better advisor allocation.
- Implemented BI dashboards (Power BI) for real-time performance monitoring.
- Change management: training, tool adoption, diffusion of a data-driven culture.
Results:Significant improvement in forecast accuracy, optimization of human resources, and reduction of customer processing times. - Orange FranceTech Lead GCP / Data AnalystTELECOMMUNICATIONSMay 2023 - November 2024 (1 year and 6 months)Paris, FranceMission:Modernize the data platform and industrialize analytical flows.
- Migrated 25+ flows to a hybrid GCP / On-Prem architecture, with optimization through partitioning and clustering.
- Deployed ML (Customer Service, Churn) and Generative AI models to improve predictive monitoring and accelerate processing.
- Developed operational KPI dashboards (restoration time, average resolution time, success rate).
- Supervised 2 agile teams (10 people) and acted as a business-technical interface (workshops, scoping, needs translation).
- Implemented data governance and traceability to ensure reliable decision-making.
Results:Reduced operational delays, better incident anticipation, rapid adoption of solutions by business units. - Orange FranceData Analyst / Data ScientistTELECOMMUNICATIONSSeptember 2021 - April 2023 (1 year and 7 months)Paris, FranceMission:Design and deploy analytical and machine learning solutions to improve B2B performance monitoring.
- Created Power BI reports and dashboards integrating sales, marketing, finance, and HR → consolidated view for management.
- Developed and industrialized Machine Learning models for invoice-payment reconciliation → +40% recovery.
- Performed exploratory and statistical analyses (customer segmentation, correlations, forecasts) to identify new performance levers.
- Prepared and integrated data (SQL, BigQuery, Power Query) from multiple business systems.
- Wrote functional and technical specifications in collaboration with IT and business management.
- Documented analytical processes to ensure reuse and continuity.
- Trained and supported users on new dashboards and models.
Results:- Significant improvement in multi-domain visibility through unified dashboards.
- Increased financial recovery and better cash flow management.
- Enhanced BI adoption by business units through tailored tools and change support.
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Education
- Master’s Degree in Digital Project Management (Data Analytics specialization)CFA Orange / Global Knowledge2023The Master’s in Digital Project Management (Data Analytics specialization) from Global Knowledge equipped me with comprehensive expertise in managing complex digital projects, with a strong focus on data analytics and advanced technologies. The curriculum covers: Strategy & Design: needs assessment, technology watch, drafting functional specifications, designing tailored IT architectures. Project Management: Agile/Scrum methodologies, budget management, KPI tracking, change management. Cybersecurity & Compliance: risk assessment, data protection, GDPR compliance. Data & AI: data collection and preparation, statistical modeling, advanced visualization (Power BI, Tableau), and applying Machine Learning and Artificial Intelligence techniques for decision-making and forecasting. This program gave me the ability to combine strategic vision, technical skills, and intelligent data exploitation to successfully deliver complex digital transformation projects.
- Bachelor’s in Mathematics & Computer ScienceUSTTB - University of Sciences, Techniques and Technologies2016Core coursework and areas of study: Computer Science: Information Systems, Algorithms and Programming (C, Java, Caml, PHP, HTML, CSS, Matlab, R), Automata Theory, Computer Architecture. Mathematics: Basic Logic, Complex Analysis & Topology, Arithmetic & Algebraic Structures, Measurement & Integration, Affine & Euclidean Geometry, Numerical Calculus, Differential Calculus, Modules & Field Extensions, Probability & Statistics, Numerical Analysis.
Certifications
- Google Data AnalyticsGoogle2025
- Supervised Machine Learning: Regression and ClassificationStanford Online2022