UP
Melbourne, VIC · Open to AI governance & analytics roles

I turn messy data into decisions worth trusting.

Senior Data Analyst building AI governance, responsible-AI monitoring and business-intelligence platforms — the kind that survive an audit, not just a demo.

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$0M+
estimated annual value modelled
0
AI use cases governed in one register
0
end-to-end platforms shipped
0%
cut in manual reporting effort

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?"

✓263 AI use cases catalogued, risk-tiered and owned in one register.
✓Shadow (unmanaged) AI systems cut from an estimated 19 down to 5, target 2.
✓Risk classifier independently validated: 73.6% exact-tier, 98.9% within one tier.
View the platform →
Portfolio by risk tier — 263 use cases
Critical 19 High 156 Medium 83 Low 5
Shadow AI systems — baseline vs now vs target
Baseline
19
Now
5
Target
2

Responsible AI Credit Monitoring Platform

A consumer-credit model was making decisions no one was independently watching for drift, unfairness or silent performance decay.

✓Performance-detection time target: weeks → under a day.
✓Manual monitoring effort halved; unexplained overrides down 30%.
✓5–10% of preventable credit losses targeted for avoidance.
View the platform →
Time to detect model performance issues
Before
Weeks
Target
< 1 day
Target improvements
Manual effort
-50%
Overrides
-30%
High-risk ID
+15%

Financial Crime Transaction Monitoring

A flat-threshold rules engine converted alerts to confirmed cases at just 12–13% precision — investigators were drowning in noise.

$6.4Mestimated annual value, conservatively scoped
✓Five trained models + rules + graph analysis replace flat thresholds.
✓Every alert explainable back to the rule, score or network signal that raised it.
View the platform →
Target improvement ranges vs legacy engine
False positives
25–40%↓
High-risk ID
+20%
Investigation time
-30%

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.

✓Identity resolution into one governed golden customer record.
✓Churn, response and next-best-action models on top of a single view.
View the platform →
Target business outcomes
Campaign conv.
10–15%↑
Churn
5–8%↓
Lifetime value
+10%
Duplicate profiles
-20%
Repeat purchase
+15%

Healthcare Growth Analytics Platform

A healthcare SaaS business needed one trustworthy view of growth, product adoption and clinician productivity — not five spreadsheets that disagreed.

✓DuckDB warehouse + dbt marts modelled across a 1M-event, 100K-patient synthetic estate.
✓88 documented DAX measures across 8 executive & operational report pages.
View the platform →
Scale of the modelled platform
Product events
1M
Appointments
500K
Patients
100K
Platform users
10K

Experience

5+ years, three organisations, one thread: turn reporting chaos into governed decisions.

Data Analyst / Data Engineer

Sep 2023 – Present

Kids First Australia, Melbourne

-40%manual reporting effort
Bronze→GoldFabric Lakehouse
Azure + AWSgoverned data access
  • 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.
  • Developed dashboards for client-services stakeholders to monitor data quality and evaluate client journeys by comparing assessment scores and service outcomes across programs.
  • Integrated Microsoft Fabric with AWS Athena and Amazon Redshift, supporting governed data access and identity management across Azure and AWS environments.
  • 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 2023

Tibaldi Australia, Melbourne

+20%operational efficiency
+30%faster report refresh
99%+daily KPI accuracy
  • 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 2021

Monash University, Melbourne

+20%warehouse query performance
-30%data-prep effort
  • 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

Use-case inventoriesRisk tieringModel risk mgmtDrift & PSI monitoringSHAP explainabilityModel cardsGen-AI oversightHuman-in-the-loop

Analytics & Insights

Advanced SQLPythonProduct analyticsGrowth & retentionRoot-cause analysisKPI design

Business Intelligence

Power BIDAXExecutive dashboardsSemantic modelsDashboard automation

Data Engineering & Platforms

Microsoft FabricMedallion architectureAzure Data FactoryAWS AthenaRedshiftdbtDelta Lake

Data Quality & Delivery

Data governanceMetadata mgmtReconciliationStakeholder workshopsAgile/Scrum

More platforms

Click a tag to filter.

Operational Resilience & Third-Party Risk

Dependency mapping across critical business services, vendors and technology, with incident and concentration-risk analytics.

Dependency mappingVendor risk

Data Quality & Regulatory Reporting Control Centre

Source-to-report lineage, reconciliation and data-quality control centre for high-impact executive and regulatory reporting.

Data lineageReconciliation

Supply Chain Demand & Inventory Intelligence

AI-driven demand forecasting, safety-stock and replenishment recommendations across a multi-echelon network.

Demand forecastingInventory optimisation

Workforce Capacity & Service Demand Optimisation

Demand forecasting and scheduling optimisation balancing service levels, overtime and fair workload distribution.

SchedulingFairness

Pricing & Promotion Effectiveness Engine

Causal uplift and elasticity modelling separating genuine incremental promotion impact from base-rate demand.

Causal AIUplift modelling

ESG & Climate Data Assurance Platform

Emissions calculation, evidence lineage and assurance controls bringing traceability to ESG and climate reporting.

Emissions modellingAssurance

Enterprise AI Governance Register

Central register and risk-tiering workflow for an organisation's AI systems — ownership, controls, monitoring, audit trail.

AI governanceRisk tiering

Responsible AI Credit Monitoring Platform

Independent monitoring for a consumer credit model — drift, fairness, explainability and governance in one control centre.

Model monitoringFairness

Financial Crime Transaction Monitoring

Alert triage combining rules, anomaly detection and graph analysis to cut false positives without losing auditability.

Anomaly detectionAML

Retail Customer 360 & Next-Best-Action

Identity resolution and recommendation engine unifying fragmented customer data across channels.

Identity resolutionRecommenders

Healthcare Growth Analytics Platform

Growth, engagement, provider-performance and patient-experience analytics for a healthcare platform business.

Growth analyticsPower BI

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 ▾