I'm a Sydney-based Administrator specialising in CRM database integrity, reporting frameworks, and change management — with experience driving organisations scaling 4–5x their constituent base.
I've delivered a 40% reduction in manual reporting, 15% gains in data accuracy, and trained 50+ staff across Power BI, Microsoft Dynamics 365, and SharePoint ecosystems. I combine corporate-grade systems discipline with lived experience in Indigenous sector operations to bridge business needs and technical solutions.
Industries covered: Not-for-profit · Indigenous sector · ERP systems · Education. I hold a Master of Data Science from Macquarie University and full working rights in Australia.
Looking for an Administrator, Change Management, or Reporting role in Sydney where I can own CRM systems, drive reporting rigour, and build staff capability.
SQL reporting framework tracking carrier KPIs, procurement spend, and contract renewals across the family transport business in Nepal. Power BI semantic layer on top for self-service exploration; replaced a stack of weekly Excel workbooks the team was hand-rebuilding.
Self-generated dataset of 1,047 job applications during my own AU job hunt. Logged source, response time, recruiter behaviour and outcome for every application; ran the analysis, published the findings on LinkedIn. Full methodology + dataset are public.
Side project I built during my own job hunt. Pulls roles from public AU job boards on a schedule, scores them against my resume with a deterministic Python rule-set (no per-match LLM cost), and uses Claude on demand for cover-letter drafts.
End-to-end ETL on Azure Fabric for an MSc unit. Ingests a ~100k-row tabular dataset, validates schema, trains a sklearn classifier, lands scored records into a Power BI semantic model. Built to a marking rubric — not a production deployment.
Reference implementation of a streaming stack: Kafka broker, Dockerised Python producer/consumer, K8s manifests, schema validation, Streamlit monitor. Built to learn the moving parts end-to-end; documented so someone else can clone and run it.
A small Python library I wrote for myself: takes a dataframe + a hypothesis spec, routes to the right test family based on assumption checks, returns a structured report with effect size and CI. Saved me re-hand-rolling the same boilerplate per dataset.
Resume-to-mindmap web tool: paste a structured resume (JSON or guided form) and get an interactive mindmap with drag-drop, zoom, and PNG/SVG export. Built mostly to scratch my own itch — a flat PDF buries structure.
Small zero-dependency JS library that turns nested JSON into an interactive SVG mindmap with Bezier-curve edges and context menus. The renderer that powers the Mindmap Profiler, extracted so others can drop it into their own pages.
▸ Top endorsed: MS Dynamics 365 · Change Management · Power BI · Reporting Frameworks · SharePoint
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The data-driven breakdown of my job search that went viral. What recruiters really look for — and what's killing your application before anyone reads it.
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I'm a BA. I present things as business cases. So here's mine.