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I'm an undergraduate student at the University of Technology Sydney, pursuing a Bachelor of Computing Science (Honours) with a strong focus on Artificial Intelligence and Data Analytics.

• My primary goal is to build a career in Data Science and Machine Learning, where I can apply my skills to solve complex problems and uncover data-driven insights.

• I'm passionate about exploring the endless possibilities of AI, from predictive modeling to neural networks. My interest also extends to the practical application of AI, including the game AI and procedural logic that bring virtual worlds to life.

• To complement my core interests, I am actively learning about other areas of software development, including full-stack development, to become a more well-rounded technologist.

An end-to-end data analytics project using Sydney Trains patronage data. Implemented anomaly detection with LightGBM and SMOTE, supported by interactive Power BI dashboards, notebooks, and outputs.
Created with Vortex.

A hybrid TensorFlow + Transformers model designed to evaluate interview answers. Combines BERT embeddings with handcrafted linguistic features to generate regression-based performance scores.

A KNIME-based workflow for predicting rainfall using Bureau of Meteorology (BOM) datasets. Includes preprocessing, feature engineering, and ML classification nodes to build predictive models.

Here is a summary of the languages, libraries, and tools I have experience with through my coursework and personal projects.

Languages

Data Science & Machine Learning

Developer Tools & Platforms