In progress
Crypto Risk & Prediction Dashboard
A Python and Streamlit analytics platform for crypto market analysis, benchmark strategy backtesting, risk metrics, ML prediction, and anomaly detection.
PythonStreamlitpandasscikit-learnQuant
Portfolio Website
Eamon Yuan
Data Science, Quant Research, and Software Engineering portfolio. I build data-driven systems using Python, machine learning, analytics pipelines, and web technologies.
Current Focus
Quant & Data Science
Backtesting, risk analytics, ML prediction, and data engineering.
Portfolio Build
Publishing clean, reproducible projects with live demos and documentation.
Career Direction
Targeting data science, quant research, analytics, and software engineering roles.
Projects
Featured Work
Industry project
Rail Break Prediction Project
Applied feature engineering and ML workflows on rail sensor data, improving predictive performance and optimising data pipelines.
DatabricksPySparkSQLMachine Learning
Private research
Quant Trading Research
Research-focused trading system using historical market data, risk controls, backtesting, and strategy evaluation. Proprietary logic is kept private.
PythonFreqtradeBacktestingRisk Management
Resume & Contact
This website is under active development. More project details, case studies, and resume links will be added soon.