Freelancer profile translated to English.
Back to original languageAbout Aime
I am a Data Analyst / Analytics Engineer, with a very operational approach.
I work on concrete issues: data reliability, performance analysis, and setting up reporting to help business teams better manage their activities.
Specifically, I help to:
- analyze data flows (SQL, Python)
- identify anomalies or inconsistencies
- build reliable indicators (KPIs)
- create useful Power BI dashboards for decision-making
I have worked in environments with strong quality and volume constraints (public sector, large groups), which has allowed me to develop a rigorous but above all pragmatic approach.
👉 My goal: transform complex data into simple and actionable tools for teams.
Available for missions in data analysis, data quality, or data support.
Aimé ADJEGUEDE
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Caen (up to 50km), Lyon (up to 10km)
Experience
- L’orealData Analyst / Engineer – L’OréalFASHION AND COSMETICSSeptember 2024 - Today (1 year and 11 months)Levallois-Perret, FranceData Analyst / Engineer – L’OréalContext:L’Oréal centralized a large volume of external data in a unique data lake to improve the exploitation and reliability of analyses. My role was to ensure that the integrated data was clean, consistent, and directly useful to business teams.What I did:Managed and monitored external data flows in the data lake.Analyzed and corrected quality issues (especially on sales data).Created data mappings to facilitate their use by teams.Developed Power BI reports to monitor integrations and detect anomalies.Collaborated closely with business teams to adapt flows to actual needs.Tools used
- SQL: data querying and processing
- Power BI & DAX: building interactive dashboards and calculation models
- Excel: complementary analyses
- Google Cloud Platform (GCP): data management and exploitation in the cloud environment
- UVUSStudy ManagerSOCIAL NETWORKSMarch 2023 - July 2023 (4 months)Caen, FranceCustomer Satisfaction Survey Manager – Un Visage Un SourireAs part of its commitment to its beneficiaries, the association Un Visage Un Sourire implemented a satisfaction survey to better understand their expectations and improve its services.My work consisted of designing a survey questionnaire adapted to the needs of the beneficiaries, organizing the collection of responses, and then analyzing the results using statistical methods.Finally, I synthesized the conclusions and communicated them to the association's managers to guide future actions and optimize the support offered.
- Communauté d’agglomérations du CotentinStudy ManagerTRAVEL AND TOURISMJanuary 2023 - June 2023 (5 months)Caen, FranceTourism Accommodation ObservatoryFaced with the rise of seasonal rentals and their impact on the territory, the Contention agglomeration community created an observatory to analyze their evolution.I conducted the collection and analysis of data from platforms like Airbnb, tourist tax, and accommodation registries. Based on this information, I identified market trends and designed interactive visualization tools to inform strategic decisions.This work helped to better understand the influence of tourist accommodations on the local economy and development.Tools used:- R, Python: Data processing, exploration, and analysis- Power BI: Visualization and creation of interactive dashboards- Argix: Mapping and spatial analysis
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Education
- MASTERCNAM Paris (National Conservatory of Arts and Crafts)2025J’ai suivi un master orienté data engineering et data analysis, couvrant tout le cycle de vie des données, de la collecte à l’exploitation pour la décision. Compétences clés : Ingénierie des données : pipelines ETL, Docker, cloud (GCP), qualité des données. Analyse & visualisation : Power BI, DAX, Excel pour produire des insights actionnables. Programmation & modélisation : Python, SQL, R, machine learning et deep learning. Projets end-to-end : collecte, transformation et analyse de données pour résoudre des problématiques concrètes et soutenir la décision métier. Cette formation m’a rendu opérationnel pour des missions de Data Engineer, Data Analyst ou Analytics Engineer, capable de mettre en place des flux fiables, des dashboards et des modèles prédictifs dès le premier jour.