I build end-to-end data and AI projects that connect
data pipelines, analytics, machine learning, APIs, dashboards, cloud architecture, and deployment.
- 🎓 Master of Data Science at The University of Western Australia
- 💼 Previous experience in product development and cross-functional business operations
- 🔍 Target roles: Data Scientist, Data Engineer, Analytics Engineer, and AI Engineer
- 🧩 Interested in transforming raw data into reliable pipelines, business insights, and usable applications
- 🚀 Currently strengthening my skills in AWS, PySpark, dbt, MLOps, LLM evaluation, monitoring, and infrastructure as code
An end-to-end cyber-risk data platform that combines vulnerability intelligence, lakehouse processing, analytics engineering, machine learning, explainability, API serving, monitoring, and infrastructure-as-code design.
Highlights
- PySpark Bronze, Silver, and Gold lakehouse pipeline
- dbt transformation and analytical data models
- Machine-learning vulnerability prioritisation
- SHAP explainability and MLflow experiment tracking
- FastAPI prediction and remediation endpoints
- Docker, Terraform, AWS architecture, and CI workflows
Tech: PySpark · dbt · DuckDB · scikit-learn · SHAP · MLflow · FastAPI · Docker · Terraform · AWS
A production-oriented retail forecasting system built from more than 3 million historical records, with chronological validation, API serving, and an interactive dashboard.
Highlights
- Four-fold chronological backtesting with a 16-day forecast horizon
- XGBoost pooled RMSLE of 0.3877
- XGBoost pooled WAPE of 12.78%
- Approximately 24.5% WAPE improvement over the best baseline
- FastAPI prediction service and responsive Streamlit dashboard
- Automated tests and GitHub Actions CI
Tech: Python · pandas · XGBoost · scikit-learn · FastAPI · Streamlit · pytest · GitHub Actions
An aviation analytics platform that transforms U.S. flight operations data into a validated dimensional warehouse and executive Power BI dashboard.
Highlights
- Processed 547,271 flight records
- Data validation and transformation pipeline
- PostgreSQL star schema with fact and dimension tables
- SQL analytical views for delays, cancellations, airlines, airports, and routes
- Multi-page Power BI dashboard for operational analysis
Tech: Python · PostgreSQL · SQL · dimensional modelling · Power BI
A hybrid game discovery and recommendation application combining structured filters, lexical retrieval, semantic matching, ranking logic, and grounded AI-generated explanations.
Highlights
- Searchable catalogue of approximately 1,500 games
- Hybrid retrieval and recommendation pipeline
- Structured filtering and query normalisation
- Grounded AI-generated recommendation explanations
- Automated retrieval evaluation scenarios
- Responsive Streamlit interface and test suite
Tech: Python · information retrieval · OpenAI API · Streamlit · pytest · GitHub Actions
A full-stack IoT monitoring and alerting system that connects physical sensors, real-time messaging, backend services, persistence, notifications, and a web dashboard.
Highlights
- ESP32 sensor integration
- MQTT real-time communication
- FastAPI backend and MongoDB persistence
- WebSocket live updates
- Telegram alert notifications
- Six validated operating and alert scenarios
Tech: ESP32 · MQTT · FastAPI · MongoDB · React · WebSocket · Telegram API
- Building tested and observable data pipelines
- Developing retrieval-based AI applications with measurable evaluation
- Applying MLOps across training, versioning, deployment, and monitoring
- Designing cloud-ready data and machine-learning systems
- Connecting technical outputs to business and operational decisions