Education

Australia International Trade Data Analysis

School Projects

Advanced data analysis algorithms, machine learning

• Tasked with processing and analysing Australia's international trade data from 1988 to 2021.

• Employed Excel and Tableau skills for deep data mining, successfully revealing import and export trends along with industry insights.

• Identified key industry shifts through advanced data processing and dynamic visual analysis, formulating specific strategic recommendations for the "Machinery and Transport Equipment" sector.

• Enhanced understanding of international trade dynamics and provided strong data support to relevant industries, demonstrating professional proficiency in data analysis and contributions to business decision-making. The project achieved High Distinction grade.

• Analysed seven data categories from ABS and PriceFinder on Westleigh's real estate, including prices, household finances, and demographics, to identify 20-year trends.

• Revealed significant findings such as property price increases, changing housing supply and demand, and shifts in employment through detailed data analysis and visualisation.

• Offered in-depth insights into Westleigh's housing market trends, aiding potential buyers or investors with data-driven advice.

• Highlighted the effectiveness of various visualisation techniques in presenting data comparisons and trend analyses, achieving a Distinction grade.

Visual analysis and data visualisation of real estate and the economy

• Analysed seven data categories from ABS and PriceFinder on Westleigh's real estate, including prices, household finances, and demographics, to identify 20-year trends.

• Revealed significant findings such as property price increases, changing housing supply and demand, and shifts in employment through detailed data analysis and visualisation.

• Offered in-depth insights into Westleigh's housing market trends, aiding potential buyers or investors with data-driven advice.

• Highlighted the effectiveness of various visualisation techniques in presenting data comparisons and trend analyses, achieving a Distinction grade.

Technical Skills

Tableau

Proficiently identify, compare and apply a range of static data visualisation techniques. Apply interactive data visualisation techniques. Design and create data visualisations for specific social contexts that are appropriate for specific users. Design and create data visualisations that contribute to the discovery and presentation of data-driven stories.

Excel

Ability to Recognise, compare and apply a range of static data visualisation techniques, design and create data visualisations that facilitate the discovery and presentation of data-driven stories

R-studio

Proficiency in the R programming language and its programming environment, basic concepts related to R programming including functions, variables, data types, pipelines and vectors and options for generating visualisations in R. There is also an understanding of the basic R Markdown format to create structure and emphasis.

Machine Learning

Proficiency in building machine learning models in Python using the popular machine learning libraries NumPy and scikit-learn. Ability to build and train supervised machine learning models for predictive and binary classification tasks, including linear regression and logistic regression. Proficient in building and training neural networks using TensorFlow to perform multi-class classification.