Summary
Graham Chester is a Python developer and data scientist who transitioned from an 11-year career as an Oracle Financials Solutions Architect into data science after earning a Graduate Diploma from Monash and a Master's from UIUC, both with top marks. He combines deep domain knowledge in financial systems, applications architecture and business process redesign with practical machine learning skills across regressions, SVMs, tree-based models, Bayesian modelling (R/JAGS, PyMC3), NLP and big data technologies. Proficient in Python and R ecosystems (scikit-learn, pandas, NumPy) and familiar with visualization tools like D3, Shiny and Tableau, he pairs statistical rigor with software engineering best practices. Unusually for a career-changer, he brings hands-on pre-sales, project leadership and international implementation experience that helps translate complex business requirements into deployable analytical solutions.
11 years of coding experience
Graduate Diploma, Data Science, GPA 4.0, with 8 x High Distinctions (A equivalent), and an 89% weighted average., Graduate Diploma, Data Science, GPA 4.0, with 8 x High Distinctions (A equivalent), and an 89% weighted average. at Monash University
High School, Pure and Applied Maths, Physics, Chemistry, High School, Pure and Applied Maths, Physics, Chemistry at Peninsula Grammar School
University of Illinois Urbana-Champaign
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at RMIT University