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Tai HoTH

Tai Ho

Digital Systems & Analytics Specialist

€289/day
Sydney, AU
0-2 years

Average response time: 1 hour

About Tai

I help small businesses untangle digital and data problems, whether it's making sense of messy spreadsheets, fixing broken websites or emails, or improving how tools and teams work together.

With a background in data science, finance, and multi-functional consulting, I bring clarity across systems, strategy, and execution. I’ve worked on everything from pricing models and dashboards to Notion workspaces, domain migrations, and tool integrations—always with clear communication, calm delivery, and zero jargon.

I’m the kind of freelancer who documents everything, thinks ahead, and doesn’t disappear when things get complex. If you need reliable support across analytics, digital setup, or system strategy, I’m here to help.
  • English

    Native or bilingual

Can work on-site
Sydney (up to 50km)

Experience

  • Good Business Sense Pty. Ltd.
    IT Support and Consultancy
    January 2024 - January 2025 (1 year)
    • Resolved technical and system-level issues across domains by identifying root causes and managing stakeholder expectations, ensuring smooth transitions during platform and workflow changes.
    • Scoped project requirements and translated cross-functional needs into actionable plans, aligning legal advisors', marketing, and technical team outputs with evolving priorities.
    • Evaluated and documented platform tools to solve recurring issues, transferring solutions in formats that were usable by non-technical staff and maintainable by future technical leads.
    • Supported client-side improvements across UX, content delivery, and customer platform flows to ensure consistent experiences and resolve pain points.
  • Wolfden Services
    Quantitative Analyst Intern
    May 2024 - August 2024 (3 months)
    • Built and evaluated predictive models using Python to estimate outcome probabilities, supporting real-world decision scenarios in a high variance dataset.
    • Cleaned and structured large datasets, storing them in AWS S3 and automating data flow using SageMaker to improve pipeline reusability and reduce manual effort.
    • Collaborated with stakeholders to align modelling priorities with business goals, translating analytics into insights that guided team strategy.
    • Created custom performance visualisations in Excel and Python to communicate results across technical and non-technical audiences.

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Education

  • Master of Data Science
    Macquarie University
    2025
    Master of Data Science
  • Bachelor of Business
    Western Sydney University
    2023
    Bachelor of Business

Skill set

Categories