Freelancer profile translated to English.
Back to original languageAbout Philippe
🎯Data Consultant | Expert BI & Cloud (GCP, Power BI, Looker), 8 years of experience
I help you transform your data into levers for performance, decision-making, and growth, through tailor-made dashboards, agile BI, and solid data governance.
My specialty: structuring your data flows, automating your reporting, monitoring your KPIs, and activating your insights — clearly, quickly, and robustly.
✅ Interactive dashboards (Looker Studio, Power BI, Tableau)
✅ Visualization & automation of financial, marketing, CSR, and supply chain KPIs
✅ Structuring BI models & documentation (Data Factory, Naming, GCP)
✅ Machine Learning (clustering, scoring, prediction, NLP)
✅ Coaching & data acculturation for business teams
💬 Available immediately – Remote or on-site freelance
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- AG2R LA MONDIALE - GIE AG2RBI Expert & Looker Studio Coach (GCP, BigQuery, Google Sheets)BANKING AND INSURANCEJuly 2025 - September 2025 (2 months)Paris, FranceObjective: Structure BI governance around Looker Studio and support the upskilling of internal teams (BI, Analytics, Customer Relations) before key business workshops.
- Targeted coaching of several teams with diverse profiles (BI, Customer Relations)
- Design and facilitation of tailor-made workshops: introduction, advanced, practical cases
- Implementation of a best practices repository covering:
- ▸ report structuring,
- ▸ naming conventions,
- ▸ data source modeling in Looker Studio,
- ▸ fine-grained access rights management
- Optimization of data governance: documentation, reusable templates, publication process
- Implementation of a peer review / code review process to ensure dashboard quality
- Facilitation of an internal support channel (Slack/Teams) for continuous and effective support
➡️ **Result**: rapid upskilling of teams before business workshops, harmonization of BI practices, improved maintainability, wider adoption of Looker Studio within the organization - ServierData Consultant (Power BI / GCP / BigQuery)PHARMACEUTICALS INDUSTRYFebruary 2023 - September 2024 (1 year and 8 months)Paris, FranceObjective: Structure and Optimize a dashboard offering for the finance department.
- Design of Power BI reports according to internal standards
- BigQuery modeling to improve loading times
- 50% reduction in maintenance load, +40% performance
- User training + setup of guides, documentation, and support
➡️ **Result**: sustainable and scalable BI, users autonomous on Power BI - Xiaomi TechnologyData Expert (Looker Studio, ML, AWS)TECHOctober 2021 - October 2022 (1 year)Paris, FranceObjective: Omnichannel customer experience tracking and AI exploitation for performance.
- Omnichannel dashboards connected to Google Analytics & in-store videos
- A/B testing & customer journey analysis
- Integration of CNN models on smart cameras (store traffic analysis)
- Documentation and training for a self-service data culture
➡️ **Result**: actionable insights, improved customer UX & informed marketing decisions
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Education
- Master in Data ScienceUniversity of Reims Champagne-Ardenne2017Le master SEP est de la catégorie Big data & Data science >Machine Learning & Deep Learning : modélisation prédictive, réseaux de neurones, classification, NLP >Intelligence Artificielle : conception d’algorithmes intelligents pour l’analyse de données massives >Statistique exploratoire, inférentielle & prédictive : tests, modélisation, interprétation de résultats >Data Mining & Scoring : segmentation, scoring client, extraction de patterns >Business Intelligence & Data Visualisation : création de dashboards interactifs, pilotage d’indicateurs >Mathématiques financières : modélisation du risque, valorisation, prévision Outils & technologies : Python, R, SQL, Power BI, Tableau, Jupyter, TensorFlow, scikit-learn
- National School of Statistics and Economic Analysis (ENSAE)Engineer Statistician Diploma2016L'ENSAE de Dakar est l'une des 3 écoles africaines membres du réseau CAPESA (Centre D'appui aux Écoles de Statistiques Africaines). Le CAPESA a été créé par l'Institut National de la Statistique et des Études Économiques (INSEE) dans le cadre d'une convention le liant aux écoles d'Abidjan, Dakar et Yaoundé. Le CAPESA est rattaché au directeur du Groupe des Écoles Nationales d'Économie et Statistique (GENES). Classe préparatoire intégrée. Formation pluridisciplinaire qui allie Mathématique, Statistique, Economie, Informatique et la Démographie. >Statistique appliquée : analyse exploratoire, inférentielle et multivariée, probabilités avancées >Économétrie & Modélisation : régression linéaire, modèles Tobit, séries temporelles, panel data >Data Science & Prévision : data mining, scoring, classification, modélisation prédictive >Mathématiques appliquées : optimisation, calcul stochastique, théorie des jeux >Analyse de données socio-économiques & financières Outils & langages : R, Python, Excel/VBA, STATA, SPAD, SQL
Certifications
- Google Business Intelligence CertificateGoogle2024