About Cheikh Tidiane
French
Native or bilingual
English
Fluent
Experience
- TotalEnergiesProcess Mining ConsultantENERGY AND UTILITIESJune 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 ModelData connections & pipeline industrializationDeployment of use cases (P2P, O2C, Inventory)→ SAP Data & AIFrom data context to intelligent solution design:SAP Business Data Cloud & DatasphereSAP BTP, HANA Cloud, SAP Analytics CloudS/4HANA, MDG→ Data & Enterprise ArchitectureDesigning modern and scalable data environments:SAP / non-SAP data architecturesMigration (SAP HANA HEC → HANA Cloud)Data governance, quality, and integrationAutomation and enterprise analytical solutions→ Tech Lead Celonis – Field ExperienceLeading complex Celonis implementationsRedesign of data architectures and migrationsDevelopment of business applications (AR/AP, monitoring, optimization)Major project at TotalEnergies (finance: P2P, O2C, Inventory)
- MOBILIZE FINANCIAL SERVICESData Scientist (GCP, AWS)BANKING AND INSURANCESeptember 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 ScientistBANKING AND INSURANCEJune 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
- MasterInstitut de Statistique de l'Université de Paris2018Data Science
- MasterSorbonne Université2018Mathématiques et Applications
Certifications
- SAP Certified Professional - Solution Architect - SAP BTPSAP2025
Skill set
Categories
- Other