● Managed implementation of regulatory change to Bill Sense and decommission of asuperseded model. Supervised an Associate Data Scientist in my team to deliver thechanges. Designed and coded solution, defined test cases, and collaborated with dataengineers to implement changes. Communicated impacts to business stakeholders.● Developed algorithm and system for an upcoming feature in the CommBank App. Builtproof of concept from initial data exploration and model development to staff pilot.Collaborated with architects, developers, and designers to build the feature forcustomers.● Created and tested enhancement to SQL job for removing duplicates from a maintainedmerchant list. Performed Market Basket Analysis to find candidates.● Built XGBoost model for predicting customer revenue loss due to branch closure.● Mentored Graduate Data Scientist and supervised them on the branch closure project

● Built production model in an R package for predicting due dates for over 100 millionbills each day. Increased accuracy overall, notably providing 100% uplift from 20% to40% accuracy for monthly bills over baseline extrapolation calculation.● Built pipeline in R to track and store model performance of 21 models.● Conducted COVID19 analyses using Bayesian Structural Time Series models for impacton consumer spending, alongside identifying and preparing JobKeeper data.

Analytics graduate in Retail Banking Services.Third rotation in Data Science, AI Labs.Refitted an XGBoost model with multiple improvements, including a sophisticated biased sampling approach to improve customer's onboarding experience for an upcoming feature of the CommBank App.Wrote model documentation, examined model accuracy and developed a methodology for choosing model score thresholds to be used.Second rotation in Advanced Analytics and Modelling, Scoring and Optimisation team:I completed a demographic analysis of customers who were not receiving specific types of marketing messages through the Customer Engagement Engine.I also completed an analysis of identifying trigger events for customers who are more likely to sell their property.First rotation in the Price Modelling and Optimisation team. I worked on a propensity model from the scoping phrase through to the model build.

10 week internship in the Distribution Analytics team, working on a network displacement project.

Flippin' burgers every Friday night