Janine has over 20 years’ experience in a variety of analytic and data science roles. Her experience includes marketing analytics, visualization and dashboard development, non-linear modeling for loss prediction, graph theory for fraud detection, consulting analytics, and predictive modeling for product development.
Janine currently leads a data science team at Visa whose mission is to unleash the power of transaction data by applying AI/ML algorithms to derive predictive insights that will help Visa clients grow and improve their business. The role of this team almost requires the team members to be full stack data scientists, handling all aspects of product development from building the model to writing enterprise quality code for deployment.
The competencies required for this team to be successful are very different than the competencies required for other roles such as data visualization or consulting analytics. Drawing upon past experience and a variety of roles, Janine’s presentation will provide an overview of Data Science at Visa as well as walk you through how these different roles can influence your career.