About me

From data-science research to professional practice.

Background

I’m a data scientist and analyst based in Sydney. My work includes machine learning, forecasting, data pipelines, dashboards, automation and web applications.

For my master’s research at Monash University, I studied how transformer models can detect AI-generated text across languages. My professional experience also includes business intelligence and digital analytics.

Experience

  1. Data & Analytics Officer · Indigenous Education Foundation (IEF) · Nov 2025 — now
  2. Data Scientist (Forecasting & Analytics) · Parsgenome · Oct 2024 — June 2026
  3. AI Research Scientist | Master’s Thesis (NLP) · Monash University · July 2022 — June 2024
  4. Data Scientist (Analytics & BI) · Parsgenome · July 2020 — June 2022
  5. Data Analyst · Nilou · May 2019 — June 2020

Data & Analytics Officer

Indigenous Education Foundation (IEF) — now

Digital analytics, GA4, Google Ads and reporting for a not-for-profit organisation.

Data Scientist (Forecasting & Analytics)

Parsgenome —

Forecasting, BI dashboards and automated reporting workflows.

AI Research Scientist | Master’s Thesis (NLP)

Monash University —

Multilingual NLP experiments, dataset construction and transformer evaluation.

Data Scientist (Analytics & BI)

Parsgenome —

Predictive modelling, ETL pipelines in Python and SQL, KPI dashboards and automated anomaly detection.

Data Analyst

Nilou —

Operational dashboards, statistical analysis for scheduling and inventory, and SQL reporting tools.

Skills and tools

Analytics & Business Intelligence

SQLPower BITableauGA4Google AdsKPI dashboardsAutomated reportingA/B testing

Data Science & Machine Learning

PythonRPandasscikit-learnXGBoostPyTorchTransformersNLPForecasting

Data Engineering & Platforms

ETLData warehousingData modellingT-SQLSQL ServerPostgreSQLDockerGoogle Cloud

Product & Engineering

TypeScriptNext.jsReactStreamlitGitCI/CDFirebase

Education

Master of Data Science

Monash University —

Research stream · High Distinction · Weighted average mark: 84/100

Master of IT Management

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Advanced Information Systems

Bachelor of Computer Engineering

—

Software engineering