Mathieu Deleu

Datawarehousing and Datamining Part-time Lecturer @Polytech Group

Lille, FR
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2015 — Present

Datawarehousing and Datamining Part-time Lecturer @Polytech Group

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EDUCATION

2006 — 2007

University of Lille 1 Sciences and Technology

master IIES, Statistics

2002 — 2005

Oniris Nantes

Master's degree, Statistics

SKILLS

Machine LearningSpssSurvey DesignData VisualizationProject ManagementData MiningCustomer Relationship Management (Crm)Business IntelligencePre-SalesTibco SpotfireData AnalysisShinySegmentationPredictive ModelingDataiku DssCrmSasBusiness AnalyticsAnalyticsStatistical ModelingApisPredictive AnalyticsData ScienceSqlBig DataStatisticsCluster AnalysisR

ABOUT MATHIEU DELEU

What I do I help companies turn complex business questions into working data products that deliver measurable value. I combine deep analytics expertise with AI and ML to understand customers, optimize operations, and drive business outcomes,**taking full ownership** from defining objectives to deploying production-ready solutions and driving adoption. My experience spans retail (search & recommendations, personalization, CLV, CRM targeting, demand forecasting, delivery performance) and banking (fraud prevention, credit decisions, customer analytics, risk forecasting). I also design and deploy advanced AI solutions: RAG pipelines, LLM-based judges, and agentic workflows. How I do it I work hands-on across analytics, AI, and MLOps on modern cloud stacks (GCP, Vertex AI, BigQuery, dbt, CI/CD), from design to deployment and operational ownership. I can execute personally or lead cross-functional teams (analysts, engineers, ML engineers, MLOps) in Agile environments. I ensure results are interpretable, actionable, and tied to measurable business impact. How I think about teams Slow delivery and poor adoption are often organizational problems in disguise. I help companies design data functions that actually scale: → Stream-aligned: embedded in product teams, owning the full data-to-decision loop within a business domain → Enabling: building internal capability so teams own their data maturity without depending on external expertise → Platform: designing shared foundations (pipelines, feature stores, monitoring) that reduce duplication and unblock everyone The goal: a data organization that scales without scaling its bottlenecks. I\'m a strong advocate for stream-aligned, full-stack data scientists, embedded in the business domain, owning the full data-to-decision loop, and treated as a first-class member of the product team and not a shared service waiting to be prioritized. Who I work with From early-stage teams defining their first data strategy to scaling organizations restructuring how data flows across business and product, I cover the full stack: from the SQL query to the organizational design. Whether you need a hands-on expert, a technical lead, or a strategic partner on data team structure, I bridge business strategy and technical execution to deliver results people actually use.

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Mathieu Deleu — Datawarehousing and Datamining Part-time Lecturer at Polytech Group in Lille, FR | Unifers