Pierrick Allègre

• Managed the strategy and execution of Agentic AI products for the aroma division (50% of Givaudan business) • Presentation of the product to both ExCom and Board Key Achievements: • Delivery: Successfully deployed two digital solution at global scale: flavour generation and ingredient replacement recommender engine • Visibility: Delivered the first agentic prototype to Board and ExCom, unlocking top management enrollment and budget allocations • Structuration: Redefined and structured strategic roadmaps of aroma division’s AI Agentic innovation initiatives • Adoption: Structured business adoption via the animation of global community of users, reinforcing engagement and visibility of the solution towards the business

• Led execution for a $200M annual marketing budget optimization initiative • Collaborated with cross-functional teams to ensure alignment with corporate objectives and timelines • Oversaw both the technical and strategic aspects, acting both as a Lead Data Scientist and a Project Manager Main Tasks: • Bi-annual delivery • Delivery of new usecases from discovery to industrialization • Optimization of delivery speed Management: • Manager of a team of 6 Data Scientist • Influence management over 9 teams • Reporting to HQ CMO, US Portfolio Manager, US CMO Key Achievements: • Leadership: Successfully navigated a high-stake corporate environment • Scientific Innovation: Enhanced the robustness and accuracy of AI model, demonstrating its reliability to the clients • Analytical Excellence: Designed 3 user-friendly analytics products tailored for top management decision-making • Operational Efficiency: Delivery speed multiplied by 3 ; fully industrialized delivery pipeline • Adoption: Drived adoption and adherence from 60% to 90% Technical: • AI models: Gradient descent on a multi-linear regression ; Bayesian Structural Time Serie • Tech stack / tools: Jira, Python (PyTorch), SQL, Databricks, Snowflake, Azure DevOps, Streamlit, PowerBI

Conducting Data Science and AI projects for various industries Project Leader – Predictive Maintenance @ Vinci • Led design and deployment of predictive maintenance algorithm, data pipeline and data platform for railways infrastructure • Organized and facilitated workshops with stakeholders to align on project objectives and deliverables • Delivered progress reports, reporting to Business Unit Manager at steering committees Technical: • AI models: Survival analysis • Tech stack: Python, SQL, GCP, GitLab, Airflow, PowerBI AI Coach @ Vinci Leonard • Led development and deployment of an innovative solution in the overhead transmission industry • Fostered adoption of tool within the business unit • Coached local resource to be product owner of the tool • Delivered progress reports, reporting to Business Unit Manager at steering committees Technical: • AI models: Computer Vision ; Mechanical optimization ; Reinforcement Learning • Tech stack: Python, SQL, Streamlit Project Leader – Cybersecurity Monitoring @ Total Energies • Coordinated interdepartmental efforts to onboard data from 40 subsidiaries for an Azure-based monitoring system • Created documentation standards and led the organization of collaborative tools • Produced comprehensive dashboards and project reports to ensure alignment with governance structures Technical: • AI models: Clustering • Tech stack: Python, SQL, Azure Cloud, Azure DevOps, PowerBI Consultant – Customer Behavior Analysis @ Vertbaudet • Produced detailed diagnostic reports, including actionable recommendations to enhance e-commerce strategies • Led project review meeting

• Team lead for deployment of risk management softwares • Pre-sale functions: definition of specifications before sale • Main clients: Société Générale, BNP, Crédit Foncier, AFD