Summary
Oliver Chi is a Full Stack Developer and data scientist with 8 years’ experience blending production software engineering and advanced research in heterogeneous data analytics. He holds a PhD in data analytics from the University of Technology Sydney and has applied non-Gaussian machine learning, deep representation learning, and robust outlier detection to financial time series during roles at NASDAQ SMART and as a PhD researcher. Comfortable across the full stack, he couples practical implementation skills with rigorous research methods to move novel algorithms toward deployable analytics. Based in Sydney, he brings a rare mix of academic depth and hands-on delivery, including expertise in multi-view imbalanced classification that often surfaces in real-world, skewed financial datasets.
8 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at The University of Queensland
Doctor of Philosophy - PhD, data analytics, Doctor of Philosophy - PhD, data analytics at University of Technology Sydney
Master of Technology - MTech, Computer Science, High Distinction, Master of Technology - MTech, Computer Science, High Distinction at University of Southern Queensland