Freelancer profile translated to English.
Back to original languageAbout Inva
Data & AI Transformation Consultant with +9 years of experience, I help companies turn their data into performance and decision-making levers.
Throughout my assignments in the energy, banking, and retail sectors, I have developed a dual technical and business approach, with a real ability to understand operational challenges and unite teams around transformation projects.
I work on Data & AI governance, data quality, strategic reporting, process optimization, and change management, always with a pragmatic and results-oriented approach.
I enjoy working in international environments, connecting business needs with concrete data solutions, and guiding teams towards simple, useful, and sustainable usage.
English
Fluent
Greek
Native or bilingual
Albanian
Native or bilingual
Spanish
Basic
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- ENGIEHead of Data GovernanceHUMAN RESOURCESJune 2023 - May 2026 (2 years and 11 months)Support for international HR data transformation and data governance projects.Involvement in data quality, definition of strategic KPIs, process harmonization, and coordination between business, HR, and IT teams.Contribution to structuring Data Governance, managing transformation projects, and change management in a complex international environment.
- Pernod-RicardSenior Data AnalystWINE AND SPIRITSJanuary 2023 - August 2024 (1 year and 7 months)Optimization of marketing campaigns through data analysis and valorization.Involvement in data exploration, preparation, and analysis to identify business insights and improve marketing campaign performance.Development of dashboards and steering indicators to track adoption, measure the impact of implemented actions, and support.
- KIABIData Governance ConsultantRETAIL (SMALL BUSINESS)February 2022 - August 2022 (6 months)Lille, FranceImplementation of Data Governance processes for B2C activities, in collaboration with business teams, Data Owners, Data Stewards, and Solution Architects.Involvement in improving customer data quality, creating functional and technical data lineage, and structuring the data catalog. Coordination of IT and business teams, facilitating project discussions, and sharing Data best practices with junior profiles.
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Education
- Engineer in Statistics and Data AnalysisENSAI2016● Échantillonnage ● Modélisation descriptive et prédictive ● Statistiques Bayésiens ● Machine learning
- MSc in StatisticsAUEB2012● Méthodes d’analyse statistique ● Outils d’analyse de données
Certifications
- Analyzing and Visualising Data with Microsoft Power BICoursera2021
- Introduction to Data Science with PythonCoursera2020