- π¬ Ask me about Data Science, AI, Microsoft Fabric, Power BI, Azure AI, data governance, AI adoption, and translating technical ideas for non-technical audiences
- π Iβm currently gaining hands-on Data & AI experience at SSW, working across Microsoft technologies and modern data practices
- π± Iβm building deeper capability in Microsoft Fabric, Power BI, data engineering, semantic modelling, AI applications, and responsible AI
- π€ My background spans Data & AI consulting, AI adoption and enablement, data quality, automation, healthcare, and education
- π§ I enjoy turning ambiguous business problems into structured, practical solutions that people can actually use
- π I hold a Master of Applied Data Science from Monash University, along with qualifications in teaching, product management, and data science strategy
- π οΈ I work with Python, SQL, Power BI, Microsoft Fabric, Azure, PyTorch, TensorFlow, scikit-learn, and Git
- π Long term, Iβm working toward Data & AI engagement leadership β connecting client problems, technical teams, delivery, adoption, and measurable business value
- π« How to reach me: LinkedIn
- β‘ Fun fact: Before moving into Data & AI, I worked as a mainstream school teacher across Prep to Year 12. In secondary school, I taught Science, Mathematics, Physics, and Digital Technologies β so translating complex ideas into something practical and understandable has been part of my work for a long time
- π€ Applied AI and AI-enabled business transformation
- π Data analytics, semantic modelling, and decision intelligence
- ποΈ Microsoft Fabric and modern data platforms
- π§ Data governance and responsible AI
- π₯ AI adoption, change, and capability uplift
- π Discovery, problem framing, and consulting
- βοΈ Automation and intelligent workflows
I'm particularly interested in the space between technology and people β understanding the problem, shaping the right solution, working credibly with technical teams, and helping stakeholders adopt it successfully.
Some of the areas I'm currently developing include:
- Microsoft Fabric and Power BI delivery
- Data engineering and analytics architecture
- AI application and agent development
- Client discovery and solution shaping
- Commercial and consulting capability
- Responsible AI and human-in-the-loop workflows
Python SQL Power BI Microsoft Fabric Azure Git PyTorch TensorFlow scikit-learn LangGraph
Cheers
Deborrah David