January —
December 2025
Honours Thesis: Are the Joneses Winning?
University of Sydney · Sydney, Australia
This independent Honours research project investigated the relationship between local income inequality and individual wellbeing in Australia, examining whether relative income differences within local communities influence subjective wellbeing beyond absolute income. The research combined economic theory with empirical econometric analysis to explore the behavioural and social impacts of inequality, contributing to broader discussions surrounding income distribution, public policy, and economic wellbeing. By leveraging Australian household and labour data, and rigorous quantitative methods, the project generated evidence-based insights into one of the most significant socio-economic issues affecting modern societies.
Key Contributions
- Designed and executed an independent Honours research project from proposal development through to final dissertation.
- Applied advanced econometric techniques to analyse Australian microdata using Stata, including data cleaning, statistical modelling, and hypothesis testing.
- Conducted a comprehensive review of academic literature on inequality, wellbeing, and behavioural economics to develop a robust theoretical framework.
- Interpreted complex quantitative findings and translated them into evidence-based policy insights through academic research and written communication.
July —
December 2024
Generative AI Recruitment Strategy
USyd Industry Project with Randstad Australia · Sydney
Collaborated in a six-month industry consulting project with Randstad Australia to explore how Generative AI could enhance the recruitment process. Working closely with a multidisciplinary team, we analysed recruitment workflows, identified opportunities for AI integration, and proposed a strategic solution focused on improving candidate-role alignment through AI-enhanced psychometric assessments. The project culminated in a client presentation recommending a scalable, data-driven recruitment framework.
Key Contributions
- Partnered with a multidisciplinary team over six months to deliver a consulting project for Randstad Australia, investigating practical applications of Generative AI within recruitment.
- Evaluated the end-to-end recruitment lifecycle to identify opportunities where AI could improve hiring efficiency, candidate experience, and decision-making.
- Designed a proposed solution integrating Generative AI into psychometric testing, enabling more personalised assessments and stronger alignment between candidates' behavioural profiles, capabilities, and suitable job opportunities.
- Assessed the strategic benefits, implementation considerations, and potential business impact of AI-assisted recruitment, including improved candidate matching and more informed hiring decisions.
- Presented recommendations to industry stakeholders, demonstrating the value of AI-driven recruitment strategies while considering ethical, operational, and organisational implications.
April —
May 2023
Airbnb Business Analytics Challenge
USyd Business Analytics Society & Alteryx · Sydney
Collaborated with a multidisciplinary team of three students to analyse real-world Airbnb data of Sydney and Melbourne as part of a business analytics challenge hosted by the Sydney University Business Analytics Society in partnership with Alteryx. Leveraged Alteryx workflows to transform raw data into actionable business insights, investigating the key drivers of customer satisfaction and identifying opportunities for hosts to enhance guest experiences. The project combined data analytics, problem-solving, and business communication to deliver practical, evidence-based recommendations.
Key Contributions
- Collaborated with a team of three to analyse Airbnb listing data using Alteryx Designer, developing end-to-end workflows for data preparation, transformation, and analysis.
- Investigated factors influencing customer satisfaction, including guest reviews, property amenities, and location characteristics, to identify key performance drivers.
- Applied data cleaning, manipulation, filtering, and workflow automation techniques to prepare datasets for analysis and improve data quality.
- Presented findings and strategic recommendations to Alteryx staff, demonstrating the business impact of data-driven decision-making.
- Awarded 1st Place in the University Business Analytics Challenge, competing against student teams from participating universities, and presented alongside the winning team from Deakin University.