Career
Career Path
My career direction sits at the intersection of data science, quantitative research, analytics, and software engineering. I enjoy building data-driven systems, analysing complex problems, and turning technical work into practical outcomes.
Areas of Interest
Roles of Interest
Experience
Data Science and Machine Learning Industry Project
University Industry PlacementInsightFactory.ai
Developed machine learning models to predict rail breaks within the next 30 days using highly imbalanced operational and sensor data. Conducted end-to-end data science workflows including data cleaning, exploratory data analysis, feature engineering, feature selection, class rebalancing, and model evaluation. Built and optimized training pipelines using PySpark, SQL, and Databricks Lakehouse, and presented findings to engineering and operations stakeholders.
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- •Improved model accuracy from 38% to 82%
- •Increased F1 score from 0% to 60%
- •Improved PR-AUC from 10% to 55%
- •Reduced pipeline runtime by approximately 40% through PySpark and SQL optimisation
- •Enhanced data integrity through validation rules and technical documentation
- •Presented EDA insights and model findings to engineering and operations stakeholders
Research Aisstant
Research ProjectAustralian Institute for Machine Learning
Conducted research into automated cryptocurrency trading systems using Python, Freqtrade, and Binance. Designed, backtested, and optimized algorithmic trading strategies across multi-year bull and bear market data. Built analytics tools for performance and risk evaluation, and deployed automated trading systems to a cloud server for 24/7 execution.
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- •Achieved +18.9% ROI with an 83% win rate and less than 10% drawdown during one optimised period
- •Implemented trailing-stop and adaptive exit logic to improve trade management
- •Built analytics tools for Sharpe ratio, expectancy, return distributions, and volatility metrics
- •Automated trade supervision and risk control using Python and Freqtrade REST APIs
- •Deployed trading bots to a cloud server for 24/7 execution
Web Application Developer Intern
Internship / Industry ExperienceMorialta Software
Worked under the supervision of the CTO to develop and maintain a SaaS web application for a real estate client. Learned Elixir and Phoenix LiveView and contributed to backend development, UI components, database migrations, asynchronous background jobs, and production debugging within an Agile development environment.
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- •Developed application features across frontend and backend modules
- •Implemented database migrations, validation logic, and background processing workflows
- •Resolved production issues involving authentication, data integrity, and asynchronous jobs
- •Completed multiple Jira tickets and participated in Scrum ceremonies
- •Adapted quickly to Elixir and Phoenix LiveView as a new technology stack
Next Direction
I am continuing to build portfolio projects that combine data pipelines, machine learning, risk analytics, and web deployment. My current focus is developing practical, reproducible projects that demonstrate both technical depth and business value.