Henri DESQUESSES

Part of Carrefour's Analytics Factory, I led data product initiatives to personalize the e-commerce experience across all digital channels (web & app). Key responsibilities: – Set up a full agile delivery framework (JIRA, rituals, KPIs, governance), improving time-to-production and strategic visibility for senior leadership. – Collaborated closely with business stakeholders to define roadmaps and align priorities across customer, corporate, and supplier needs. – Led a cross-functional squad of 7–10 data profiles (Data Scientists, Analysts, Engineers, DevOps) using agile methods. Leaded projects: – Managed and improved multiple product recommendation algorithms (substitution, similarity, cross-sell, next purchase prediction, page ranking, collaborative filtering). – Personalized the search engine with machine learning-based ranking, synonym optimization, and dynamic filters. – Improved order fulfillment accuracy with a predictive model for out-of-stock risks, tested via digital twin simulation and deployed in production (A/B tested). – Launched a GenAI-powered product data enrichment system (completion, correction, human validation), processing over 70,000 items with full cost control. – Delivered user-facing features enhancing conversion and UX such as: "Healthier alternatives" suggestions at checkout, "Anti-inflation” button with cheaper equivalents. – Migrated a legacy API to a new high-performance infrastructure handling 5M + requests/day. – Built a performance monitoring dashboard (Data Studio) offering macro/micro visibility on ROI and budget tracking for all team initiatives.

Final-year internship as a Data Scientist consultant, contributing to a company-wide transformation of the group's marketing strategy. Key achievements: – Developed algorithms and a decision-support application on the Big Data platform for the marketing division: – Identified agency opening opportunities through a geographic potential scoring model (probabilistic regression). – Built a sociodemographic segmentation of the French territory into ~30 clusters at IRIS-level granularity (clustering, classification). – Modeled median income distributions across multiple geographic scales using regression techniques. – Predicted potential revenue using the SIRENE business registry. – Simulated and analyzed real and hypothetical catchment areas for strategic targeting. – Created a data visualization app to support project portfolio arbitration by the group's executive leadership. – Benchmarked and tested mass geocoding APIs for high-volume address processing (millions of records). – Contributed to database mapping efforts as part of GDPR compliance work.

Internship within the local IT support team, working closely with business users and management. Main responsibilities: – Developed dashboards for operational performance monitoring. – Automated the generation of key statistics for executive reporting. – Built an internal mailing automation tool for targeted communication campaigns. – Designed an application for branch advisors to support the Welcome / Referral offer (Service Offer team).

Designed a mobile application inspired by a successful U.S. business model, allowing users to delegate their place in a queue. – Conducted market research and defined a value proposition tailored to the French market. – Developed a functional mobile prototype. – Outlined a go-to-market strategy and contributed to early-stage team recruitment.

Worked as a production operator, machining crown components for high-end luxury watches on a rotating 2-shift schedule.