Astrid Mehta

About

Astrid Mehta is a Data & AI Consultant specialising in Microsoft Fabric, Power BI semantic models and Databricks-based analytics platforms. With over 13 years of experience across telco, retail, manufacturing and government sectors, she excels at turning complex data into actionable insights and has recently led an internal Copilot-on-Fabric pilot. Her background as a BI developer in banking gives her a strong foundation in secure, governed data environments.

Experience

1. 2022-03 — Present

   Current
   Data & AI Consultant

   Data#3

   Delivering end-to-end data and AI solutions focused on Microsoft Fabric, Power BI and Databricks for enterprise clients.

   • Led internal Copilot-on-Fabric pilot for Data#3's own operations
   • Designed and implemented semantic models for multiple government and retail clients
   • Mentor junior consultants on Fabric architecture and best practices
2. 2018-07 — 2022-02
   Senior BI Developer

   National Australia Bank

   Developed and maintained enterprise BI solutions within the bank's data warehouse and analytics platform.

   • Built self-service Power BI semantic models used by 800+ staff
   • Implemented data pipelines reducing reporting latency by 65%
   • Collaborated with risk and compliance teams on governed data assets
3. 2015-02 — 2018-06
   BI Analyst

   Deloitte

   Provided data analytics and visualisation services to large Australian clients across multiple industries.

   • Delivered BI solutions for major telco and manufacturing clients
   • Developed interactive dashboards that informed executive decision making
4. 2011-06 — 2015-01
   Junior Data Analyst

   Telstra

   Supported network performance and customer analytics reporting within the Australian telco leader.

   • Created automated reports using SQL and early Power BI tools
   • Contributed to customer churn analytics projects

Projects

1. Copilot on Fabric Pilot

   2024-02 — 2024-08
   Data#3 Internal Innovation · IT Services · as Solution Lead

   Successfully stood up internal pilot enabling natural language analytics for 45 staff, achieving 3.8x faster insight generation and high user satisfaction scores.

   Microsoft FabricAzure OpenAIPower BISemantic Link
2. Fabric Data Platform Modernisation

   2023-08 — 2024-06
   Department of Transport and Planning · State Government · as Lead Data Consultant

   Delivered a unified semantic model serving 12 business units, reducing report generation time from 18 hours to under 45 minutes and improving data accuracy by 92%.

   Microsoft FabricPower BIAzure Data LakeDAXPython
3. Enterprise Sales Analytics Hub

   2023-01 — 2023-07
   Wesfarmers Retail · Retail · as Power BI & Fabric Specialist

   Designed and deployed a central analytics platform used by merchandising and finance teams, resulting in a 27% improvement in inventory turnover and $14M in identified savings.

   Microsoft FabricPower BI Semantic ModelsDatabricksSQL
4. Predictive Maintenance Analytics

   2022-05 — 2022-12
   Boeing Australia · Manufacturing · as Data Engineer & Analyst

   Built real-time predictive maintenance models that reduced unplanned downtime by 41% across manufacturing lines, with dashboards adopted by 200+ engineers.

   DatabricksAzure SynapsePower BIPython Notebooks
5. Customer 360 Dashboard Program

   2021-03 — 2021-12
   Optus · Telco · as BI Developer

   Developed enterprise customer 360 semantic model and dashboards used by marketing and customer experience teams, increasing campaign ROI by 34%.

   Power BIAzure Data FactoryDatabricksSQL Server
6. Health Data Insights Platform

   2024-09 — —
   Victorian Government Department of Health · State Government · as Semantic Model Architect

   Architected governed semantic models for sensitive health data, enabling secure self-service analytics for 8 directorates while maintaining full compliance.

   Microsoft FabricPower BIDAXAzure Purview