Working hand-in-hand with MYPE Consulting to deliver data & analytics projects to MYPE clients.

DARE is a bankinsurance partnership between AXA and ING, whose goal is to offer a wide array of innovative data-driven insurance services to bank customers, covering life, health and P&C products.Main responsibilities- Derive DS/DE needs and key solutions from the partnership’s strategic objectives- Define and pilot the data sharing and processing strategy : identify and design technical solutions for the global platform, manage country-level implementation, ensure data privacy and protection- Lead the product engineering on a variety of data-driven servicesData-driven use cases:- Individual risk diagnostic : provide accurate risk profile to direct customers towards insurance products and options best suited to their needs- Simplified overwriting : streamline the quotation process with prior customer data from the bank- Tailormade product : data-enabled modular approach (recommendation engine) to offer customers insurance products that are customized to their needs.- Behavioral and geographical actionable insights

Data Science and Engineering consulting in support of AXA worldwide entities shift towards data-driven operations.- Machine Learning for health risk assessment in Hong Kong (bank/insurance partnership)Increase conversion while keeping a balanced risk sheet, by offering simplified overwriting and discounting to a selection of bank customers with a low risk profile.- Data team upskilling in SwitzerlandTraining on DS/DE best practices, state-of-the-art technologies and ML methods. Lead Data Engineering trainer and Project Manager.

Design and implementation of a ML engine with an uplift targeting model to run marketing campaigns aimed at incentivizing contributions growth on 403(b) retirement plans.

Data engineering and machine learning modeling on structured data :- Real-time prediction engine to prioritize prospects to target (call) when a lead is “hot” (<5 min)- ML-powered Data Marts connected to a new interactive frontend to ease and fasten business analysis- Production-ready project to set up and test the Palantir Foundry platform at AXA. Data integration, cleaning, management, wrangling and analysis; training and deployment of a ML model; publishing of predictions through APIs

Big Data challenges :• Data collection and processing• Distributed computing, clusters management in the cloud• Consulting in statistics and data miningTechnologies : Hadoop, Node.js, Python, R

Project & Knowledge management, desktop & mobile interfaces, databases management, web technologies, customer interfaces, e-commerce solutions.