A Senior Analyst's Field Manual for Excel-Centered Analytics
A practical sequence for building Excel work that stays fast, stays correct, and survives the day you stop touching it.
Read on LinkedIn →Global HRIS Manager · Data Architect · AI Expert
Approach
Understand. Improve. Build. Automate. Repeat.
From a messy spreadsheet to a system that runs itself.
↻ Then improve it — and go again
Six worlds
Models, pipelines and analytics that hold up under questions.
Language models and machine intelligence, applied where they truly help.
Recurring work removed — reports that build themselves.
HR, finance and operations — the numbers in their real context.
From idea to live system, on enterprise terms, at startup speed.
Teams that keep the system running long after the project ends.
Experience
Below the line — where I was employed · Above — clients I served as a contractor
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Trusted in the rooms of
Oracle·The Adecco Group·Devoteam·PwC·Avast·Atlas Copco·Novartis·Boehringer Ingelheim·Škoda Auto·Ferring
Certifications, Courses & Training
Oracle · 2026
Oracle · 2026
Oracle · 2026
Oracle · 2025
Oracle · 2025
DeepLearning.AI · 2025
The Linux Foundation · 2025
GOPAS · 2025
ServiceNow · 2019
PwC · 2018
BD Advisory · 2017
IREB · 2016
Articles
Binary Thinking is the first series — a practical look at getting data right, where architecture beats clever formulas. More series will follow.
A practical sequence for building Excel work that stays fast, stays correct, and survives the day you stop touching it.
Read on LinkedIn →Power Query transforms, Python analyzes, Power Automate connects — but in attended desktop workflows, something still has to orchestrate.
Read on LinkedIn →The companion reference: the functions, the gotchas, and the side-by-side comparisons that actually matter.
Read on LinkedIn →For most analysts the hardest part of learning Python was never the language — it was the tooling. Python in Excel removes that barrier.
Read on LinkedIn →A data-engineering view on why the fastest VLOOKUP in the world can't save a workbook built on the wrong foundation.
Read on LinkedIn →