📍 Melbourne, Australia 🎓 Master of Data Science — RMIT University (2026) 🔗 LinkedIn | Email

• 🎓 Data Science postgraduate at RMIT University with hands-on experience across the full data lifecycle — from pipeline development and statistical modelling to dashboard design and stakeholder communication
• 🔍 I bridge the gap between complex technical analysis and clear business outcomes, ensuring insights are not just accurate but actionable

• 📊 Designed and delivered a production-ready Power BI dashboard at Etiko, underpinned by a material-specific carbon calculation methodology engineered in Python — enabling data-driven emissions reporting for business stakeholders
• 📈 Developed a time series forecasting model for Victorian wind energy generation, achieving 88% forecast accuracy (MAPE) and outperforming an industry-standard Holt-Winters benchmark by 8% on a 12-month out-of-sample holdout dataset
• ☁️ Architected and deployed a full-stack cloud platform on AWS across three distinct deployment models (EC2, ECS Fargate, and serverless Lambda), conducting a structured evaluation across scalability, cost efficiency, and maintainability dimensions

• Time Series Forecasting of Victorian Wind Energy Generation — SARIMA forecasting model achieving 88% accuracy on Victorian wind energy data | R
• Cloud-Based Music Subscription Platform on AWS — Full-stack web app deployed across EC2, ECS Fargate, and Lambda | Python, AWS, Docker

Languages & Query: Python, R, SQL, PHP, C, C++

BI & Visualisation: Power BI, Tableau, Excel

Cloud: AWS (Lambda, EC2, ECS Fargate, DynamoDB, S3, API Gateway), Docker

Databases: MySQL, MongoDB, DynamoDB

Libraries & Tools: Pandas, NumPy, Scikit-learn, Weka, GitHub

Graduate opportunities in Data Analysis, Business Analysis, Data Engineering, or Business Intelligence in Melbourne, Australia.

Open to connecting with recruiters and industry professionals — feel free to reach out via LinkedIn or Email