Get in Touch
Ready to discuss your data science or ML engineering project? I'm available for consulting and contract work across Australia. Reach out directly—I typically respond within 24 hours.
Professional Profiles
What to Include in Your Message
To help me understand your needs and respond with relevant suggestions, please include:
- • Project Description: Brief overview of your challenge or opportunity
- • Technology Context: Relevant platforms (AWS, Databricks, Snowflake, Power BI, etc.)
- • Timeline & Scope: Expected duration and project scope
- • Contact Details: Your name, company, and preferred contact method
- • Key Goals: Specific challenges or desired outcomes
Based in Australia and available for consulting, contract work, and project-based engagements. I'm selective about opportunities to ensure the best fit and quality of work.
What to Include in Your Message
To help us have a productive first conversation, here's what's most useful to share when you reach out.
Project or Opportunity
A brief overview of what you're looking to accomplish. For example: "We need to modernize our data warehouse" or "We're building a predictive analytics capability."
Relevant Technologies
What platforms or tools are involved? (e.g., AWS, Snowflake, Power BI, existing data infrastructure). This helps me understand your current setup and constraints.
Timeline & Scope
When do you need this done? What's the rough scope — a few weeks, a multi-month engagement, or ongoing work? This helps me assess fit and availability.
Your Contact Info
Who's reaching out and what company are they from? A direct phone number or email for follow-up is helpful so I can respond quickly.
Challenges & Goals
What specific problems are you trying to solve? What's the business outcome you're after? The more context about your situation, the smarter our first conversation can be.
Not all of this is required. The goal is simply to have enough context for a productive conversation. If you're not sure about timeline or exact scope, that's fine — we can discuss it. I typically respond within 24 hours.
Professional Profiles
Verify credentials and explore expertise across professional networks. These platforms showcase technical depth, community engagement, and commitment to continuous learning.
Open Science Framework
Research contributions, data science projects, and collaborative work
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Credibility
Multiple platforms provide independent verification of skills, experience, and professional reputation.
Technical Depth
GitHub and PyPI showcase hands-on technical work, open source contributions, and real-world problem solving.
Community
Engagement across professional networks demonstrates commitment to knowledge sharing and continuous learning.
Questions about specific expertise or projects? Reach out directly.
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