Writing
18 articles on data, analytics, and BI.
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.
After auditing 50+ enterprise dashboards, I found the same 5 critical errors everywhere. Any one of them can cost you six figures in bad decisions.
The exact SQL optimization techniques I used to transform a query from 45 minutes to 4 minutes — with real code you can use today.
At 16, I automated my family's transport business in Nepal and eliminated 13 manual roles. It wasn't cruelty — it was survival. And it shaped everything I've done since.
After 200+ dashboards, these 8 DAX measures show up every single time. Copy-paste ready, with exact code and notes on when to use each one.
You built a beautiful dashboard. Your stakeholders opened it once. Now it collects dust. Here's the real reason — and how to fix it fast.
I forced myself to do every data task in Python for a month. Some things got 10x faster. Some things I'm still doing in Excel.
We migrated from Azure Synapse to Microsoft Fabric in 6 weeks. Here's everything that went wrong, what we'd do differently, and the checklist we wish we had.
Technical skill gets you hired. Storytelling gets you promoted. Here's the framework I use to turn any data finding into a decision that sticks.
I see experienced analysts write 40-line subqueries for problems that window functions solve in 3 lines. Here's the complete practical guide.
After building ETL pipelines that ran every hour, I hit a wall. Some business questions can't wait 60 minutes for an answer. Here's what Kafka changed, how the pipeline is architected, and when you actually need it.
Every data governance framework I've seen fails for the same reason — and it has nothing to do with tools, technology, or budget.
The term is everywhere. The definition is nowhere. This is a problem — and it's costing teams real money.
A wrong dashboard that people distrust costs you debates. A wrong dashboard that people trust costs you decisions.
Most data projects fail not because the analyst was wrong, but because nobody agreed on what success looked like before the project started.
You don't need a full DQ framework to catch 80% of problems. You need five questions and fifteen minutes.
A data modeller who can't model their own career is a cobbler with no shoes. So I tried. The results were uncomfortable.
Every organisation I've joined had a data catalogue. None of them had a data catalogue anyone actually used. Here's the pattern — and the fix.