Resume
Experience
Streamline (Aurizn / Lunio) — Data Scientist
2024 – Current
- Lead Data Scientist for Streamline, owning end-to-end pricing model design and evolution: pricing logic, optimisation strategies, production validation, monitoring, and explainability standards.
- Developed and optimised a dynamic pricing model across multiple companies; identified and resolved scaling bottlenecks, halving inference time and improving revenue forecast accuracy.
- Owned AWS MLOps and support; reviewed infrastructure inefficiencies and built cost monitoring/reporting that reduced monthly AWS spend by 20%+.
- Founded and led a journal review club, fostering team growth through discussion of AI/ML research.
Aurizn — Intern / Graduate Data Scientist
2023 – 2024
- Developed LLM-based recommender systems with SHAP-driven explainability to surface model decision logic for non-technical stakeholders.
- Analysed data ingestion and retraining pipelines for a dynamic pricing project; implemented an automated retraining workflow that maintained model accuracy and reduced manual maintenance.
Education
The University of Adelaide
2022 – 2024
Bachelor of Computer Science (Advanced)
Languages & tools
PythonSQLPySparkPyTorchAWSIaCGitRJavaC++
Additional
- Scrum Master Certificate (2025)
- Industry liaison — University of Adelaide Competitive Programming Club (2024)