🎯 About
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🎓 BMath (Statistics/Data Science)
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🔬 Currently exploring topics in timeseries forecasting, geostatistics, and agentic AI workflows
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🎨 Occasionally dabble in Blender
🧠 What I’m Working On
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Public transit lateness forecasting with ChronosT5 and NSW transport data
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PyTorch-based neural nets to predict loan defaults
🚀 Featured Projects
| Project | Summary | Stack |
|---|---|---|
| Forecasting Bus Lateness | Traffic regression and transformer-based lateness prediction using NSW bus logs and cyclical time encoding | PyTorch, ChronosT5, PySpark, Seaborn |
| Predictive Analysis of Australian Maximum Temperature | A spatial statistics analysis of Australian climate data | R, raster, FRK, GpGp |
| Simple-Nets | Lightweight tabular classifiers built in PyTorch | PyTorch, PySpark MLlib |
| RAG Paper Recommender | Local RAG system using LangGraph + Mistral to recommend research papers | LangChain, LangGraph, MistralAI |
📊 GitHub Stats