Experience

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  Kpmg

  Nov 2017 - Feb 2018

  Summer vacationer

  • Attended client meetings, prepared insightful questions to ask clients and recorded minutes • Helped to draft and edit proposals to help KPMG secure new clients• Assisted in tracking and data analysis for KPMG’s current clients in order to help prepare final reports • Completed basic administration tasks such as office paperwork and tracking accounts

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  Ibm

  Jun 2018 - Jul 2018

  Consultant

  I was required to analyse whether or not Block Chain technology should be used in the Healthcare industry with three other University Students as part of an ongoing IBM project. • Identified solutions using Block chain technology for the current problems in the Korean healthcare system• Used quantitative and accounting data to determine the costs and benefits of implementing block chain technology on a large-scale basis• Liaises with senior members of IBM in order to gain a thorough understanding of Blockchain Show less

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  Anz

  Nov 2018 - Jan 2019

  Internship at anz (institutional)

  Worked for two months with the Transaction Banking team within the ANZ Institutional Group• Assisted in preparing a seminar to help ANZ employees understand new credit card merchant technology utilised by the bank• Researched and presented new ideas for how data could be utilised more effectively by the bank• Responsible for preparing presentations to update Singaporean clients on their current short-term bank accounts and investments

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  Strategic project partners

  Jan 2019 - Mar 2019

  Internship at strategic project partners

  Completed a six-week management consultancy internship at SPP• Assisted a Manager in conducting data-driven analysis on the value of Research at a University • Worked with an Associate, Manager and Partner to help assess the value of integrated data platforms for a leading research company • Responsible for an individual presentation discussing how Not-for-Profits can maintain profitability in a changing environment

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  University of melbourne

  Mar 2019 - Nov 2020

  Senior tutor

  Was Senior Tutor at Melbourne University for the subject Quantitative Methods 1 •Liaised with the Head of Department and other tutors to ensure that assignments and exams are marked fairly for students and tutors receive reasonable marking rates•Received a score of 90% in the Subject Experience Survey. This is a form completed by students which assesses a tutor’s ability to explain concepts clearly and engage the class•Provided peer mentor support for new tutors through coaching and observation sessions throughout the semester Show less

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  Australian crisis simulation summit

  Jul 2020 - Nov 2020

  Head crisis-writer

  The ACSS was an initiative led by students from the Australian National University which gave Australian undergraduate students the opportunity to work together to solve simulated crises related to national security. As Head Crisis Writer, my responsibilities included: • Conducted detailed research through liaising with university professors and reading academic journals on the key security challenges Australia currently faces • Assembled policy briefings based on extensive research, presenting these briefings and obtaining feedback from stakeholders • Ran and moderated the crisis simulation using a simulation software for 70 student delegates and over 15 industry experts. Show less

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  Conducttr

  Sept 2020 - Dec 2020

  Data visualisation developer for conducttr

  Data Visualisation Developer for Conducttr (Sept 2020-Dec 2020)Conducttr is a crisis simulation software company based in the United Kingdom which deploys simulations to help companies and their employees gain experience in crisis management. • I led a short-term project to create a Data Visualisation dashboard which assessed how well participants responded to the crisis simulations. I used my Python and JavaScript coding skills to translate the raw data collected from the Conducttr simulations into meaningful insights for clients. Show less

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  Melbourne institute: applied economic & social research

  Nov 2020 - May 2022

  Data and analytics foundation fellow at the melbourne institute

  Economics Foundation Fellow at the Melbourne Institute (Dec 2020-June 2022)The Melbourne Institute is an economic and social policy research institution affiliated with the University of Melbourne. My role as a Breaking Down Barriers Foundation Fellow involves working on projects relating to community disadvantage in Australia.• Producing a research-ready dataset from detailed microdata (including the Australian Census Longitudinal Dataset and the Census of Population and Housing) to use in research projects focussed on assessing community disadvantage in Australia • Using Python, JavaScript, R and Stata to transform raw data into meaningful visualisations and written reports. This provides key information into the most disadvantaged communities in Australia and the drivers behind this disadvantage • Employing complex economic modelling techniques including Propensity Score Matching, k-nearest neighbour matching and multivariate regressions to gain further insight into cyclical disadvantage and the types of people who are must susceptible to poverty Show less

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  Neighbourlytics

  May 2022 - Mar 2024

  Data science engineer

  Neighbourlytics is an urban life analytics platform which harnesses data from a wide variety of sources to help users such as local councils and property developers understand how people move and live within a neighbourhood. My responsibilities as a Data Science Engineer included: • Writing complex ETL and ELT pipelines using Python that automated the process of transforming our regularly updated raw big data into more usable formats. These pipelines were used and updated regularly, so the code written for them was highly maintainable and flexible to accommodate for changing product requirements. • Using Big Data Warehouses such as BigQuery and languages including SQL to optimise the queries of large geospatial datasets. Advanced SQL techniques were used to ensure that our raw geospatial data was cheaply read and transformed into actionable insights for how people interact with their neighbourhoods. • Engaging directly with our Product Designer and CEO to translate customer needs into meaningful metrics and visualisations that could be instantly understood by people with a non-technical background. • Creating and maintaining relational database structures in PostgreSQL that maintained data integrity and ensured that data could easily be retrieved when we needed to use it for metrics, visualisations and ad-hoc analysis • Creating a QA Framework for multiple data sources to quickly clean and validate data. This framework also helped identify serious data anomalies and assessed the impact on our metrics, so we could quickly reach out to our external data providers if needed.• Implementing Machine Learning Techniques such as K-means clustering to understand the ways in which cohorts of people behave in geographic areas. Show less

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  Data army

  Mar 2024 - now

  Data engineering consultant