Jaafar OUARDI

I support my client in the delivery and industrialization of Data initiatives across Supply Chain. I am responsible for structuring, coordinating and delivering end-to-end data projects, from business scoping and design to build and deployment, ensuring alignment between business stakeholders, data teams and IT architecture. Key responsibilities: ✅Lead Data delivery for Inventory Monitoring and Transport Performance initiatives ✅Drive KPI definition, business rules, granularity, time windows and validation with business stakeholders ✅Structure Data Products (Bronze / Silver / Gold) and ensure data consistency and governance ✅Coordinate cross-functional teams (Business, Data Engineers, BI, Architects) ✅Manage project governance: roadmap, planning, risks, dependencies and delivery follow-up ✅Support Go Design / Go Build / Go Live milestones and business validation ✅Ensure performance, scalability and reusability of data solutions

🔹 Delivery Manager – Data Science & AI Projects (Retail Sector) As Delivery Manager, I led several strategic data initiatives in the retail space, ensuring delivery, coordination, and alignment between data teams and business stakeholders. 🛒 Assortment Optimization Implemented a clustering and scoring engine in Dataiku DSS to recommend tailored product assortments per store cluster. ✅ Clustered stores using t-SNE based on real purchasing behaviors ✅ Built a pipeline for product scoring and business impact simulation ✅ Delivered actionable insights and a first version of optimized assortments 🎯 Goal: Deliver the right product mix to the right store cluster, improving relevance and performance while avoiding one-size-fits-all approaches 🤖 AI Agent Powered by LLM (R&D) Designed a modular AI agent connected to DeepSeek LLM and orchestrated via N8N. ✅ Integrated MCP endpoints (tools, resources, actions) for dynamic interactions ✅ Enabled notebook execution and real-time context understanding ✅ Delivered a conversational, operational AI agent with plug-and-play architecture 🎯 Goal: Build an AI agent capable of understanding context, acting autonomously on data tools, and assisting users in natural language 📦 Market Order Demand Forecasting Led the design of a predictive ordering solution to assist store teams in managing fresh product (market) inventory. ✅ Built a demand forecasting model using historical sales, seasonality, and local store patterns ✅ Generated automated order proposals based on predicted demand to support in-store teams ✅ Ensured smooth integration with store ordering tools and defined KPIs to monitor performance and adoption 🎯 Goal: Help store staff make smarter, data-driven order decisions to optimize availability and minimize waste

📍 Clients: TotalEnergies, Decathlon, IRD 🚀 Key Responsibilities & Achievements : ✅ Led cross-functional Agile data teams (Architects, Data Engineers, Data Analysts, DevOps) to deliver high-impact data initiatives. ✅ Delivery Manager for the HR Datalake cloud migration (Azure → AWS), overseeing the full project lifecycle from architecture design to implementation, deployment, and operations. ✅ Managed the delivery of Recruitment Reporting solutions (internal/external) with internationally distributed teams. ✅ Lead Data Migration for a major HR transformation program, involving data migration from 65 countries to Workday, from initial design to execution. ✅ Conducted a comprehensive feasibility study for QlikView to Qlik Sense migration, including business needs analysis, planning, budgeting, and governance strategy. ✅ Oversaw a Data Service Center composed of Data Engineers, Data Analysts, and DevOps, ensuring operational excellence and service continuity. ✅ Managed HR campaign reporting using Qlik (Social Reports, Annual Performance Reviews). ✅ Prepared and delivered business proposals and presentations for strategic data projects. ✅ Held operational and managerial responsibilities, including team leadership, mentoring, and performance reviews.

📍 Clients: Pro BTP, Sepalumic, Gifi, Government of Monaco 🚀 Key Responsibilities & Achievements : ✅ Project Manager for the migration of Qlik Sense reporting from On-Premise to a modern industrialized architecture, leveraging Talend Cloud, Snowflake, and Qlik Sense SaaS. ✅ Resolved complex data modeling and performance issues to align with evolving business needs. ✅ Led a cross-functional team: task planning, prioritization, and progress tracking. ✅ Facilitated Steering Committees and design workshops, ensuring alignment between technical solutions and business expectations. ✅ Delivered recommendations and architecture proposals tailored to client-specific environments and goals. ✅ Acted as a Qlik Sense and Qlik Sense SaaS expert, providing advanced support, training, and onboarding to business users. ✅ Ensured system reliability and data continuity across the entire BI ecosystem. ✅ Provided additional consulting on Spotfire and Stambia, contributing to data integration and visualization strategies.

📍 Clients: SNCF, RATP 🚀 Key Responsibilities & Achievements : ✅ Served as Scrum Master for a 7-member Agile team, ensuring smooth sprint execution and team collaboration. ✅ Managed task distribution, sprint planning, and effort estimation in coordination with stakeholders. ✅ Facilitated Daily Stand-ups, Sprint Reviews, and Retrospectives, promoting continuous improvement. ✅ Co-led Sprint Planning sessions with the Product Owner (MOA), ensuring clear alignment on priorities and scope. ✅ Participated in functional and technical design workshops, and proposed scalable solutions and data models. ✅ Supported the MOA in defining and refining User Stories, ensuring quality and feasibility. ✅ Authored and reviewed comprehensive documentation (functional and technical specifications). ✅ Developed BI applications on QlikView and Qlik Sense, ensuring business-driven dashboarding. ✅ Created and maintained ETL jobs with IBM DataStage for efficient data processing and integration. ✅ Supported UAT preparation and execution, and capitalized on feedback for continuous improvement.

🚀 Key Responsibilities & Achievements ✅ Developed a Qlik Sense application as part of an internal analytics initiative. ✅ Supported the User Acceptance Testing (UAT) process, including preparation, assistance, and capitalization of test feedback. ✅ Wrote and reviewed both technical and functional documentation to ensure clarity, maintainability, and knowledge transfer.

🚀 Key Responsibilities & Achievements ✅ Developed Qlik Sense dashboards to support business analytics and decision-making. ✅ Participated in the User Acceptance Testing (UAT) process: preparation, user support, and consolidation of feedback. ✅ Authored and reviewed detailed technical and functional documentation, ensuring full traceability of deliverables.