Data scientists have the unique opportunity to explore all kinds of data, and that's what makes it exciting. There's a sense of discovery in every dataset analysed and every visualisation crafted, revealing new layers of insight and understanding.
PORTFOLIO
Here are my data analysis projects, in the form of Jupyter Notebooks and Tableau. Notebooks are available on GitHub, and the dashboards are accessible on Tableau Public/direct link:
BOOK STORE ANALYSIS
A Unimelb coursework assignment, I collaborated with two other group members to analyze data from an online bookstore. We applied unsupervised machine learning models to extract insights from customer and book attributes, to aid the company on which new books to purchase for their store.
TRAVELLEX DASHBOARD
My very first data analysis project, completed during VCE Data Analytics in 2022, is where I first developed a fascination with data and visualisation. The project involved analysing a country's attributes post-pandemic to help travellers plan their holiday destinations.
RUNNING DASHBOARD
My most recent project involved analyzing my health and running statistics to optimize my training for the Nike 10km Run this October. Inspired by the Strava app, I incorporated a linear regression model to predict my running performance on race day.