Problems I solve
Five platforms, five real business problems. Click through.
Enterprise AI Governance Register
An organisation running predictive models, copilots and vendor AI couldn't answer "which AI systems do we actually have, and is anyone watching them?"
Responsible AI Credit Monitoring Platform
A consumer-credit model was making decisions no one was independently watching for drift, unfairness or silent performance decay.
Financial Crime Transaction Monitoring
A flat-threshold rules engine converted alerts to confirmed cases at just 12–13% precision — investigators were drowning in noise.
Retail Customer 360 & Next-Best-Action
The same shopper looked like six different people across POS, e-commerce, loyalty and CRM — campaigns and churn models couldn't see the whole customer.
Healthcare Growth Analytics Platform
A healthcare SaaS business needed one trustworthy view of growth, product adoption and clinician productivity — not five spreadsheets that disagreed.
Experience
5+ years, three organisations, one thread: turn reporting chaos into governed decisions.
Data Analyst / Data Engineer
Sep 2023 – PresentKids First Australia, Melbourne
- Designed and delivered enterprise Power BI dashboards that reduced manual reporting effort by 40% and improved visibility across service delivery, client outcomes and strategic KPIs.
- Built a Microsoft Fabric lakehouse using medallion architecture, ingesting delta-based source data into bronze, applying data-quality controls in silver and publishing gold models.
- Resolved cross-cloud identity and authentication between Microsoft Fabric and AWS (Athena, STS) and Amazon Redshift, improving access-provisioning and processing efficiency by more than 30% for internal and service end-users.
- Designed Salesforce data-deduplication and record-matching logic across roughly 30K CRM records, flagging more than 10% as duplicates to lift data quality ahead of reporting.
- Built Power Query (M) transformations and DAX-based overlap-detection logic that flags overlapping service enrolments with around 95% accuracy, improving program-reporting accuracy.
- Designed a Salesforce object model supporting a client survey and program-tracking workflow across client-services teams.
- Led data migration from legacy Salesforce into Salesforce Agentforce, validating campaign, organisation, interaction and donation records to minimise financial and marketing risk.
- Supported migration from a legacy client-management platform to a new SRS solution, onboarding more than 10 programs and contributing to design for over 50 service programs.
Data Analyst
Jun 2021 – Sep 2023Tibaldi Australia, Melbourne
- Partnered with senior stakeholders to define requirements, KPIs, data rules and reporting solutions, improving operational efficiency by 20% through actionable SQL and Python analysis.
- Designed and delivered enterprise Power BI dashboards that reduced manual reporting effort by 40% and improved organisational visibility across operational and strategic KPIs.
- Optimised complex SQL queries and Power BI datasets, improving report performance and refresh efficiency by approximately 30%.
- Partnered with Finance, Operations and Quality Assurance teams to define business measures, investigate performance drivers and deliver actionable KPI reporting.
- Digitised more than 100 operational and quality processes through a cloud-based SaaS platform, improving compliance, audit readiness and data integrity.
- Delivered daily executive KPI reporting with more than 99% accuracy through automated validation, reconciliation and exception-management processes.
- Designed dimensional data models and maintained technical documentation supporting scalable enterprise analytics and ongoing platform maintenance.
Data Scientist / Data Analyst (Industry Project)
Feb 2020 – Jun 2021Monash University, Melbourne
- Built predictive and behavioural analytics solutions using Python, Spark and SQL to support research and evidence-based decision-making.
- Integrated CRM and contact-centre datasets into a centralised analytical warehouse, improving query and analytical performance by approximately 20%.
- Developed automated data pipelines and AWS-based CI processes that reduced data-preparation effort by 30%.
Core competencies
AI Governance & Responsible AI
Analytics & Insights
Business Intelligence
Data Engineering & Platforms
Data Quality & Delivery
More platforms
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Operational Resilience & Third-Party Risk
Dependency mapping across critical business services, vendors and technology, with incident and concentration-risk analytics.
Data Quality & Regulatory Reporting Control Centre
Source-to-report lineage, reconciliation and data-quality control centre for high-impact executive and regulatory reporting.
Supply Chain Demand & Inventory Intelligence
AI-driven demand forecasting, safety-stock and replenishment recommendations across a multi-echelon network.
Workforce Capacity & Service Demand Optimisation
Demand forecasting and scheduling optimisation balancing service levels, overtime and fair workload distribution.
Pricing & Promotion Effectiveness Engine
Causal uplift and elasticity modelling separating genuine incremental promotion impact from base-rate demand.
ESG & Climate Data Assurance Platform
Emissions calculation, evidence lineage and assurance controls bringing traceability to ESG and climate reporting.
Enterprise AI Governance Register
Central register and risk-tiering workflow for an organisation's AI systems — ownership, controls, monitoring, audit trail.
Responsible AI Credit Monitoring Platform
Independent monitoring for a consumer credit model — drift, fairness, explainability and governance in one control centre.
Financial Crime Transaction Monitoring
Alert triage combining rules, anomaly detection and graph analysis to cut false positives without losing auditability.
Retail Customer 360 & Next-Best-Action
Identity resolution and recommendation engine unifying fragmented customer data across channels.
Healthcare Growth Analytics Platform
Growth, engagement, provider-performance and patient-experience analytics for a healthcare platform business.
Education
BCompSci in Data Science (Honours)
Monash University · Oct 2017 – Dec 2021
Engineering Mathematics & Honours Thesis: High Distinction. Big Data, Cybersecurity, Algorithms, Mathematical Modelling.
Study Abroad, Leadership Skills
Univ. of North Carolina at Charlotte · Jan–Feb 2019
Negotiation, business communication, creative thinking.
Foundations & earlier coursework ▾
- Data Science Projects — R/Python EDA
- Data Visualisation Projects — Tableau
- Data Modelling & Statistical Analysis — R
- MATLAB Projects — numerical methods
- Deep Learning Projects — Python
- Database Systems Development — SQL/ER
- Data Structures & Algorithms — Python/MIPS
- Computational Theory Projects — automata
- Cyber Security Analysis — crypto
- Web Apps Development — HTML/CSS/JS
- Android Apps Development — Java/Kotlin