Greater Paris Metropolitan Region
Passionate AI and Data Science leader with over 14 years of experience in AI and ML. Proven expertise in AI governance, strategy development, and leading innovation in collaboration with cross-functional teams. Specialized in ensuring ethical, regulatory-compliant AI implementation while driving impactful business results through advanced machine learning solutions.
Main achievements and responsibilities: - Harness the latest AI technologies to create valuable outcomes for Accor: Générative AI, Deep Learning, etc. - Recruit, provide technical leadership and individualized mentoring to the team (team of 9) - Identify and prioritize use cases that use Data Science techniques - Responsible for the Data Science strategy and roadmap of the team: create and track success metrics (OKRs) in collaboration with the product and engineering teams - Create with the Engineering team of a new standardized Data Science platform, using SageMaker - Acculturate top management and business teams around Data concepts - Strengthen links with the academic world: 2 projects with ESSEC chair -> Guest preference / passion detection -> Demand forecasting - Strengthen links with the scientific world: ANR (Agence Nationale de Recherche) funding for 3 years and a half with IMT, CEA, CNRS and INDENOI -> PROPEOS project - On device privacy oriented personalized services (reduce the intrusiveness of AI techniques and put the clients back in control of their data) - AI European project evaluator
Create valuable Data Science products for hospitality business. Main achievements: - Understand a business problem, identify the key challenges, formulate the machine learning problem and provide/prototype solutions - Gather the business needs, pitch and co-design solutions with the business team: -> Bounce Back project - detects rebound signals in time series data to predict which destinations could be opened during Covid period -> Automatic photo quality estimation and enhancement ->Post-Covid destination recommendation using collaborative filtering ->Best hotel recommendation system using hybrid approach - Define team's best practices in terms of code, ways of working and ML practices - Project management
Deliver AI powered products to Photobox clients Main achievements: - Automatic photo album creation, from POC to industrialization: -> Build different deep learning models for aesthetics, memorability, emotion recognition -> Intelligent photo sub-selection based on specific criteria (e.g. moments, tags, aesthetics, etc.) for Web and iOS -> Mobile photo analysis and album generation on iOS - Greeting cards personalized recommendation, from POC to industrialization: -> Collaborative filtering based approach -> Similar cards retrieval -> Search cards by design - Semi-supervised labeling pipeline - Tutor new team members - 1 international conference publication - Project management