Bayesian A/B Testing Tool
Production-ready web application for Bayesian A/B test analysis and experiment planning
📍 Sydney, Australia
Optimised Snowflake, Python, SQL, and Airflow pipelines to improve reliability of core financial operations. Replaced manual Excel workflows with embedded Python automation, reducing errors and cycle time. Drove code reviews, documentation, and risk mitigation for sustainable practices. Delivered stakeholder-focused insights for finance and operations. Retrained trail commission models to improve accuracy.
Gathered and translated reporting/data requirements; partnered with delivery teams to align with business objectives. Acted as a liaison across business, dev, and test teams. Provided design, build, and testing support; created self-service analytics with Alteryx/Tableau. Led UAT planning and execution to ensure accurate validation and smooth deployments.
Defined data/reporting needs and translated them into technical requirements. Assisted in solution design and testing. Enhanced data platform features to support remediation processes and provide fresher data for legacy customers. Built automated testing data generation enabling rapid, repeatable scenario testing.
Built analytics and dashboards for banking/finance clients to assess climate-related risks and property exposure. Automated data acquisition with Python web bots to improve completeness/accuracy. Prototyped ML/rules-based imputation to predict missing values and improve data coverage.
Owned performance monitoring and strategic insights across SEM (Google/Bing/Facebook). Allocated ~$500K weekly digital budget with data-driven recommendations. Built and maintained marketing data warehouses (BigQuery, GCP) to unify the customer journey. Implemented a manual bidding strategy turning losses into profit; mentored junior analyst to scale the process. Led CRO/A/B testing across brands.
Developed SQL-based data warehouses and ETL across APIs/CRMs/structured & unstructured sources. Delivered dashboards and analytics (Tableau/Qlik/Excel) across industries. Built regression models in R for forecasting and cost-driver analysis. Documented processes for consistent delivery and coached junior analysts.
Level
Senior
Experience
10+ Years
Master of Biostatistics
Bachelor of Science — Biology