Freelancer profile translated to English.
Back to original languageAbout Kokoè
Hello,
Welcome to my profile, I am a Data Scientist / Data Analyst and I work on various predictive analysis and explanatory statistics issues, for example:
✅ Formalize the business problem and translate it into a data problem
✅ Perform extraction of large data with complex data models
✅ Prepare data (pre-processing / data management) in Python / R / SQL
✅ Exploit and leverage data through descriptive statistical analyses / predictive methods (Machine Learning) / explanatory statistical analyses
✅ Build customer demand forecasting models
✅ Interpret results and make recommendations
✅ Present KPIs on visualization dashboards such as: Tableau / Power BI / R Shiny
My strengths:
💪 My ability to communicate with all departments to understand their challenges
💪 My synthesis skills
💪 My ability to create educational reporting documents
💪 My passion for innovative methodologies
Contact me so we can discuss your project and see how I can help you.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km), Antony (up to 40km)
Experience
- RTEData Analyst (R, Shiny, SQL) | Business Analyst DataENERGY AND UTILITIESFebruary 2024 - June 2025 (1 year and 4 months)Puteaux, FranceMission: Within the Statistics and Data Valorization Department (DSVD), ensure the operational maintenance (MCO/TMA) and development of analytical solutions, with a focus on data flow reliability and automation to support Network Operations teams in the operational management of the electrical system.Examples of applications supported:
- Real-time monitoring of the reliability of electrical grid data.
- Weather forecasts to anticipate risks to power lines during heatwaves.
- Monitoring of power line openings and closings and automated balance sheets.
- Visualization of electrical measurement indicators for grid operations.
Key Contributions:- Contribution to the team's Agile organization: backlog management, workload estimation, agile rituals.
- Gathering requirements and translating them into technical specifications.
- Design and development of ETL pipelines: extraction from databases (SQL), APIs, and datalake, data transformation and normalization, loading into datamarts for exploitation.
- Modeling and populating data warehouses for analytical applications and BI reports.
- Development and industrialization of automated processes to ensure the reliability of multi-source data collection and integration (datalake, SQL, APIs).
- Design, development, and deployment of Shiny applications integrating key indicators and interactive dashboards for operational management.
- Implementation of automated controls and management of application obsolescence (version upgrades, CI/CD, R Connect).
- Consulting and support on best development practices in R / Shiny environments.
Technical Environment:R language, Shiny, dplyr, data.table, SQL, APIs, Postman, Git. Work on a centralized R analytical platform (RStudio Workbench, Package Manager, R Connect), Agile. - PROPARCO - Groupe AFDData Analyst (R/Shiny)BANKING AND INSURANCEApril 2023 - December 2023 (8 months)Paris, FranceMission:Development of a Shiny application for monitoring the project lifecycle of financing, with real-time indicator reporting, for the General Management and operational teams, in an agile context.Key Contributions:
- Gathering business requirements and translating them into functional and technical specifications.
- Ensuring the reliability and integration of multi-source data (internal IS, Excel files) into ETL pipelines prior to analytical reporting.
- Design and deployment of semi-automated data preparation and transformation processes to feed financial dashboards for General Management.
- Development of dynamic visualizations: interactive charts, maps, downloadable exports.
- Implementation of a user base and a secure authentication module within the Shiny application.
- UI/UX Design: ergonomics, navigation, tab organization.
- Active participation in Agile ceremonies (planning, daily, sprint reviews, retrospectives).
Technical Environment:R language, Shiny, dplyr, data.table, SQL, Git. Work on a centralized R analytical platform (RStudio Workbench, Package Manager, R Connect), Agile. - GIE AXAProduct Owner DataBANKING AND INSURANCEApril 2021 - March 2023 (2 years)Puteaux, FranceMission:Within the IT department, act as the interface between the GRM (Risk Management) business teams and the IT teams to ensure service continuity and monitor projects related to insurance contract pricing (natural disasters, cybersecurity) and reinsurance tools.Maintenance and management of 4 business applications:*Management of the migrationof two Shiny applications from OpenShift version 3 to version 4.
- Coordination of production releases with production, infrastructure, and DevOps teams.
- IT/Business interface for incident management with L3 support and service continuity.
- Facilitation and active participation in Agile ceremonies (daily meetings, sprint reviews, retrospectives) to ensure proper backlog prioritization and monitor development progress.
- Integration and reliability of portfolio data via an R pipeline.
- Design of API consumption monitoring dashboards (ElasticSearch logs, JSON) in Python.
- Monitoring of IT compliance (AXA standards, security, governance) for the applications.
- Coordination of the deployment of a new application between IT, IT solution providers, and infrastructure teams.
Migration of Reinsurance business calculation tools:*Reverse engineering of R applicationsto identify dependencies and anticipate **decommissioning to the cloud**.*Creation of a repository of necessary packageson a shared environment.- Monitoring of functionaltesting phasesand support for local entities in using the tools.
- Assistance withlocal deploymentof Shiny applications on user workstations.
Technical Environment:R language, ITIL V4, R Language, Python, Rest API, Openshift, Git, SQL, Azure, AWS, Kibana, ElasticSearch, Agile.
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Education
- Master 2 in Mathematics and Computer Science Applied to Human and Social Sciences (MIASHS)University of Versailles Saint Quentin (UVSQ)2016Le M2 MIASHS est une formation professionnelle en statistique. Son objectif est, grâce à un approfondissement conséquent des méthodes statistiques et à une spécialisation en actuariat et en étude de marché, de former des cadres statisticiens, dotés d’une double compétence actuariat/ études de marchés.
- Bachelor's Degree in Applied Mathematics and Computer ScienceUniversity of Versailles Saint-Quentin en Yvelines2014Cette spécialisation fournit aux étudiants de solides connaissances de base en Mathématiques et en informatique ainsi qu'une bonne culture scientifique générale.
Certifications
- Introduction to Revenue ManagementEURODECISION2025
- Sales Forecasting TrainingEURODECISION2024