Develop machine learning models to proactively understand customer’s needs to enhance customer engagement and enable personalised next best conversation for our customers.

Achievements:

• Building machine learning solution to provide the personalised and optimised next best conversations (NBC) for our customers

• Built a shiny web application to simulate customer next best conversations to provide the visibility on the impact for business and customer and automate the manual processes to have 50% productivity gain every simulation

• Built and implemented machine learning models for business lending and transaction products to increase customer product takeup rate by 2% and managed the customer NeedsMet marketing campaign end to end

Managed end to end analytics and machine learning modelling projects and built the solutions to improve business return.

Achievements:

• Developed share of wallet stretch models solution which drives the member loyalty campaigns to optimize ROI and models recommend optimal reward offer and spend hurdle for each individual customer based on their own shopping behaviors, results show the increase of 12% in ROI, 2.2% incremental sales and cost reduced by 9%

• Built modelling datamart (AWS Redshift) to have single loyalty program member view, which becomes the data foundation to build predictive models and analytics insights