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Cheikh Tidiane B.CT

Cheikh Tidiane B.

Supermalter

SAP Data Architect | Migration & Process Mining

€950/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Cheikh Tidiane

SAP Data & AI Architect | Data Migration | Process Mining

I help companies succeed in their SAP projects by securing the architecture, data migrations, and optimizing business processes.

✅ SAP Data Migration (reliability, quality, transformation)
✅ Data Architecture (SAP BTP, HANA, Cloud)
✅ Process Mining (Celonis, Signavio) for rapid gains
✅ Data pipelines and dashboards

🎯 Goal: transform your data into concrete performance
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • TotalEnergies
    Process Mining Consultant
    ENERGY AND UTILITIES
    June 2024 - Today (2 years and 2 months)
    Courbevoie, France
    → Process Intelligence (Celonis)
    End-to-end implementation, from data to business value:

    Process Mining & Object-Centric Process Mining (OCPM)
    EMS, Knowledge Models, Context Model
    Data connections & pipeline industrialization
    Deployment of use cases (P2P, O2C, Inventory)

    → SAP Data & AI
    From data context to intelligent solution design:

    SAP Business Data Cloud & Datasphere
    SAP BTP, HANA Cloud, SAP Analytics Cloud
    S/4HANA, MDG

    → Data & Enterprise Architecture
    Designing modern and scalable data environments:

    SAP / non-SAP data architectures
    Migration (SAP HANA HEC → HANA Cloud)
    Data governance, quality, and integration
    Automation and enterprise analytical solutions

    → Tech Lead Celonis – Field Experience

    Leading complex Celonis implementations
    Redesign of data architectures and migrations
    Development of business applications (AR/AP, monitoring, optimization)
    Major project at TotalEnergies (finance: P2P, O2C, Inventory)
    SAP HANA SAP S/4HANA Cloud Celonis SAP Datasphere SAP BTP
  • MOBILIZE FINANCIAL SERVICES
    Data Scientist (GCP, AWS)
    BANKING AND INSURANCE
    September 2022 - May 2024 (1 year and 8 months)
    Specialized bank in financing and automotive services for Renault, Nissan, and Mitsubishi brands.
    • Residual Value Prediction:
    • Estimation of the market value of vehicles for leasing offers.
    • Migration of the residual value prediction tool from Amazon Web Services to Google Cloud Platform.
    • Use of cloud technologies: Vertex AI, BigQuery, GCS, Composer, Dataproc, Airflow, Cloud Functions, Amazon SageMaker.
    • Participation in project committees and technical validation of models with the ECB.
    • Participation in project committees and technical validation of models with the ECB.
    • Predictive models for marketing and risks:
    • Development of predictive models for Mobilize Financial Services subsidiaries.
    • Analysis of business needs, design, and deployment of machine learning models.
    • Collaboration with DevOps and data engineers for model industrialization.
    • Presentation of solutions to subsidiaries and deployment on Google Cloud Platform.
  • LBPCF (La Banque Postale Consumer Finance)
    Data Scientist
    BANKING AND INSURANCE
    June 2020 - August 2022 (2 years and 2 months)
    • Modeling and improvement of propensity and attrition scores using ensemble methods, SVM, neural networks... (Python, Dataiku, SAS)
    • Performing data and machine learning studies to analyze customer behavior for optimizing commercial operations
    • Forecasting trends in renewable credit production (time series)
    • Quality control and validation of data used
    • Monitoring new approaches (anomaly/fraud detection)
    • Model improvement through a "Test and Learn" approach
    • Using Data Visualization solutions to report results and measure their impact

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Education

  • Master
    Institut de Statistique de l'Université de Paris
    2018
    Data Science
  • Master
    Sorbonne Université
    2018
    Mathématiques et Applications

Certifications

Skill set

Categories

  • Other