Personal Website
Eamon Yuan
Data Science, Quantitative Research, and Software Engineering portfolio. I build data-driven systems using Python, machine learning, statistical analysis, data engineering, and modern web technologies.
Current Focus
Quantitative Research & Machine Learning
Building algorithmic trading systems, predictive models, and risk analytics using Python, machine learning, and statistical methods.
Data Engineering & Analytics
Designing scalable pipelines with Databricks, PySpark, SQL, and automated workflows for large-scale data processing and model training.
Portfolio & Technical Projects
Publishing reproducible projects with interactive visualisations, documentation, and case studies that demonstrate measurable outcomes.
Career Direction
Targeting roles in quantitative research, data science, machine learning, data engineering, and software development.
Projects
Featured Work
Crypto Risk & Prediction Dashboard
This project is in progress.
Rail Break Prediction Project
Machine learning project to predict rail breaks using sensor and operational data, focusing on handling class imbalnce and building scalable Databricks ML pipelines.
Quant Trading Research
Algorithmic trading research using Python and Freqtrade including backtesing, risk management, and automated trade support across crypto markets.
Contact
Get In Touch
I am always happy to connect to discuss potential opportunities, collaborations, or simply have a conversation about data science, quant research, analytics, and technology.
eamon.yuan@outlook.com
Location
Adelaide, South Australia, Australia
Availability
Open to opportunities, collaborations, and conversations over a coffee.