I am a Data Science graduate from Queensland University of Technology (QUT), specialising in data analysis, machine learning, and impactful data visualisation. I create data-driven solutions that drive business insights and innovation.
Built an end-to-end churn prediction pipeline with feature engineering, profit-optimized thresholding, SHAP explainability, and an interactive Streamlit app.
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Trained machine learning models using Streamlit and PyCaret with no-code UI.
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End-to-end pipeline that scrapes AIHW hospital-separation tables, loads PostgreSQL, and serves an interactive Streamlit analytics dashboard.
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Extracted and transformed crypto transaction data to PostgreSQL using the Bitquery API.
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Full-stack AI-powered flashcard app built with React.js, Node.js, MySQL, and OpenAI API.
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Predicted S&P 500 up/down direction using Random Forest and engineered trend features.
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Cleaned global layoff data using MySQL with deduplication, standardisation, and null handling.
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Transformed and cleaned raw JSON datasets for ingestion into MongoDB collections.
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Searched recipes via Spoonacular API and fetched cooking videos using YouTube Data API.
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Python scraper for extracting ATAR, degree names, and requirements from UniSC websites.
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Cleaned Australia occupation data and created interactive insights using MySQL and Tableau.
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Cleaned bike-sharing data and created interactive insights using Python and Tableau.
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