CV
Education
| Master of Business Analytics | 2024 – 2025 |
| Grade (CGPA): 3.83 / 4.00 | |
| Monash University – Melbourne, Australia |
| Bachelor of Business and Commerce | 2020 – 2023 |
| Major: Business Analytics | |
| Monash University – Kuala Lumpur, Malaysia |
Professional Accreditations
- Statistical Society of Australia (SSA) - Graduate Statistician (GStat)
Skills
| Programming & Data Analysis |
| SQL, Python, R, DAX, Bash, VBA |
| Statistical Analysis, A/B Testing, Regression, Market Basket Analysis |
| User & Market Research, Segmentation, ETL Pipeline Development, Time Series Forecasting |
| Visualisation & BI |
| Power BI, RShiny, Tableau, Microsoft Excel |
| Advanced Excel (Formulas, Audits, Reconciliation, Validation, Lookups) |
| Data Management & Governance |
| KPI Documentation, Data Quality Checks, Validation Controls |
| Privacy, Security, Governance Compliance, Report Testing & Stakeholder Sign-off |
| Cloud & Data Platforms |
| Google Cloud, AWS, SQL Server, MySQL, Snowflake (Analytics Consumption) |
| DuckDB, Git, CI/CD |
| Project Management & Methodologies |
| Agile (Scrum/Kanban), Project Management, People Management |
| JIRA, Confluence, Microsoft Office Suite |
Projects
| Australian Migration & Labour Market Dashboard (RShiny) |
- Developed a multi-tab interactive RShiny dashboard integrating multiple ABS datasets to analyse Australian labour force dynamics across migration, employment, and education dimensions.
- Performed extensive data cleaning, transformation, and alignment in R to support cross-variable analysis, building interactive visualizations including geospatial maps, Sankey flows, time-series comparisons, and distribution plots.
- Applied statistical techniques such as linear regression within the dashboard to explore relationships (e.g. education and income), presenting results directly for user interpretation.
| Applied Retail Forecasting & Model Evaluation (ABS Data) |
- Conducted an end-to-end forecasting analysis on Australian retail turnover data, examining long-term trends, seasonality, and structural disruption around COVID-19 using variance stabilization, decomposition, and stationarity diagnostics.
- Developed and compared ETS and ARIMA models based on data characteristics, theoretical suitability, and information criteria, evaluating trade-offs between forecast stability and responsiveness using rolling test sets and multiple accuracy metrics.
- Validated forecasts against newly released ABS data beyond the original sample period and outlined a repeatable operational workflow for annual model review, refitting, and performance monitoring.
| Service Flow Simulation Tool |
- Developing a simulation tool to explore service-flow dynamics, modelling customer arrivals, service times, and queue selection behaviour using probabilistic distributions to reflect real-world uncertainty.
- Implemented logic where customers dynamically join the shortest available queue, enabling analysis of congestion, waiting-time behaviour, and system performance under varying arrival and service conditions.
- Designed the tool to support scenario testing across different parameter settings; the current version demonstrates core simulation logic, with additional distributions and controls in progress.
| YouTube Analytics ETL Pipeline & Power BI Dashboard (Ongoing) |
- Building an end-to-end ETL pipeline extracting YouTube channel and video metadata via the YouTube Data API, persisting time-stamped raw snapshots to support reproducibility and trend analysis.
- Implementing transformation and data modelling logic in DuckDB using SQL to produce analytics-ready dimension and fact tables, alongside derived KPIs such as subscriber growth, view growth, and upload cadence.
- Designing a refreshable Power BI dashboard to visualise channel growth, content performance, and portfolio-level insights using curated datasets.
Awards
- Monash Faculty of IT, Award of Excellence - Honoured for exceptional project in FIT5057 – Project Management, selected from over 250 groups.
Experience
| Data Analyst - Government Relations | |
| SEEK Australia | July 2025 – December 2025 |
- SEEK is a leading employment marketplace, providing job search, hiring, and market insights across Australia and Asia-Pacific.
- Analysed labour market trends using ABS, JSA, and internal datasets, combining SQL (AWS Athena) and R Programming to generate insights across different geographies.
- Developed scalable and automated reporting ETL pipelines, producing refreshable labour market insight reports used by Government Relations, Growth, and Commercial teams
- Queried and integrated large internal datasets with external government sources, improving consistency and depth of analysis across multiple stakeholder use cases.
- Collaborated with cross-functional stakeholders to translate technical findings into clear, actionable insights for non-technical audiences.
- Contributed to a data integration initiative mapping SEEK and Jora datasets through structured ontology and data modelling concepts.
- Delivered analytical outputs supporting high-impact strategic initiatives, with project work linked to an estimated ~$10M revenue opportunity.
| Product Data Analyst | |
| SynergySphere Enterprises | September 2024 – April 2025 |
- SynergySphere is a small-scale 3D printing business that delivers customized products to clients across retail and hospitality.
- Analysed sales and cost datasets to identify high-margin products and optimise pricing insights, improving average product profit margins.
- Designed and managed an SQL database linking customer, order, and backlog data, supporting visibility across 100+ active and completed jobs.
- Conducted product and demand analysis on order patterns, increasing repeat customer rate by 30% through refined product offerings.
- Evaluated material, print time, and labour costs using Power BI (DAX), reducing per-unit production costs over 6 months.
- Tracked and reported order pipeline and delivery timelines, reducing average turnaround time and improving scheduling efficiency.
| Data Analyst - Supply Chain | |
| MyTree | August 2023 – August 2024 |
- MyTree was a platform redistributing surplus food from suppliers to businesses, helping reduce waste and lower procurement costs.
- Analysed fulfilment, delivery, and inventory insights data across 1,000+ orders to identify inefficiencies and cost drivers.
- Built Power BI dashboards to track core KPIs, leading to an improvement in on-time delivery performance.
- Performed statistical route analysis to identify inefficient delivery zones, improving route planning.
- Queried operational datasets in SQL to support reporting on demand, delivery performance, and warehouse activity across multiple regions.
- Assessed unit economics by order and region, identifying low-margin segments and contributing to 2 cost optimisation initiatives.