About Kevin
- Fabulous (40M users, triple-digit growth)
- Cheerz (€50M revenue)
- OCUS (+250% growth)
- Deployment of AI-augmented semantic layers (e.g., Omni) for natural language data access
- Optimization of associated LLMs for reliable answers
- Implementation of tools for Product teams to autonomously analyze their A/B tests
- Construction of tailor-made attribution models to identify profitable channels, campaigns, and creatives
- Development of forecast models to identify high LTV cohorts
- Implementation of tracking that reveals user behavior and friction points.
- Analysis of complex payment data to detect invisible issues in the conversion funnel
- Design of data platforms combining AI-driven automation and safeguards (testing frameworks, data quality).
- Execution of concrete, impact-oriented data roadmaps
French
Native or bilingual
English
Native or bilingual
Experience
- FabulousStaff Analytics EngineerSOFTWARE PUBLISHINGMay 2023 - January 2026 (2 years and 8 months)Paris, FranceFabulous is a family of award-winning wellness mobile apps, used by over 40 million users worldwide.I joined the company during its hypergrowth phase (from 1 to 9 apps) to scale the analytics platform to support strong user and revenue growth, and to lead complex, high-impact business data projects.
Key Achievements & Projects
Platform Redesign and Acceleration (with AI)- Deployment and fine-tuning of an AI-augmented semantic layer (Omni), enabling natural language analysis and reducing time-to-insight from several days to a few seconds.
- 90% reduction in data costs in 2 months through custom ingestion pipelines (billions of events) and optimization of incremental models.
- Redesign of the dbt testing framework: 5x reduction in data incidents and increased team productivity.
Return to Positive Marketing ROI- Construction of a revenue forecasting model for User Acquisition, supporting decisions that generated +150% annual MRR growth with profitable spending.
- Detailed modeling of subscription and payment data, identification of critical friction points in workflows: +30% revenue after experimentation.
- Creation of an internal tool for analyzing advertising creative performance, saving tens of thousands of euros per year.
Reliability and Self-Service- Implementation of monitoring systems ensuring tracking quality and robustness of strategic KPIs.
- Development of A/B testing frameworks enabling Product teams to analyze their experiments autonomously.
Technical Contextdbt Core, nao labs, Cursor, BigQuery, Omni, Metabase, Fivetran, Amplitude, Deepnote, GitHub Actions - CheerzHead of Data & Analytics EngineeringE-COMMERCEJanuary 2022 - May 2023 (1 year and 4 months)Paris, FranceCheerz is a European scale-up specializing in photo printing on mobile/web (150 employees, €50M revenue).I worked closely with the Product, Tech, Marketing, and Management teams to make data a central lever for performance and decision-making.
Key Achievements and Projects
Definition and Management of Data Strategy- Construction of quarterly data roadmaps aligned with business priorities, expected impact, and analytical maturity level.
- Transformation of an organization focused on reactive reporting towards a diagnostic and proactive approach (root cause analysis, backend monitoring, alerting).
Building and Scaling a Hybrid Data Organization- Recruitment and management of analytics engineers and data analysts; definition of roles, responsibilities, and work standards.
- Reduction of time spent on simple queries and fixes (from 50% to 10%) through high data reliability (99.9% uptime) combined with a high level of self-service.
Integrating Metrics into Product & Tech Decisions- Shift from partial visibility on user actions to systematic monitoring of conversion rates, user journeys, and feature impact.
- Transformation of rituals (sprint reviews, roadmap planning, postmortems) into discussions centered on metrics rather than deliverables.
Technical Contextdbt cloud, Stitch Data, airbyte, Google BigQuery, Looker, Amplitude, Google Analytics, Hightouch, Deepnote, Segment - CheerzLead DataE-COMMERCEOctober 2020 - January 2022 (1 year and 3 months)Paris, FranceI joined Cheerz during an international expansion phase with the mission to structure and grow the data function.
Key Achievements and Projects
End-to-End Data Stack Modernization(Stitch + Airbyte -> dbt -> BigQuery -> Looker)- 93% reduction in Looker query execution time (from several minutes to a few seconds).
- Replacement of 500+ complex SQL files with a modular dbt Cloud project on BigQuery, applying software engineering standards (CI/CD, testing, DRY modeling).
- Complete migration to Looker dashboards without service interruption.
Creation of the Analytics Engineering Function- Recruitment and support of one of the first Analytics Engineers in France.
- Implementation of modeling, testing, documentation, naming conventions, and code review standards.
Redesign of Tracking and Implementation of Product Analytics- Complete reconstruction of the tracking system: taxonomy, governance, instrumentation guidelines, and QA process.
- Deployment of Amplitude, improving behavioral analysis, funnels, and experimentation velocity.
- Implementation of a reverse ETL (Hightouch) to recover lost conversions (cookie gaps) and optimize marketing campaigns.
Technical ContextLooker, dbt Cloud, Stitch Data, Google BigQuery, Amplitude, Google Analytics, AWS
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Education
- Master's degreeEcole nationale supérieure d'Arts et Métiers / ENSAM2015Master's degree
- Cambridge Higher School CertificateCollège du Saint EspritCambridge Higher School Certificate