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I help NGOs turn messy Kobo/Excel data into clean reports in 48 hours.
I'm a Computer Science graduate from YABATECH with OND Community Health, now studying Public Health at Miva (GPA 4.61).
Last week I cleaned a 1,200-row health survey — duplicates, missing values, wrong dates — and built a dashboard the team could actually use.
If you have survey data sitting in Excel that you need cleaned, visualized, or turned into a report, send me a DM.
I will review the first 10 rows for free and tell you what's wrong.#DataAnalysis #PublicHealth #KoboToolbox #Excel
The network for creativity
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One quarterly number almost got double-counted across two reports.
Two dashboards were quietly tracking overlapping data. Caught before it went out now there's one source of truth the reports pull from, not two that can disagree.
→ A good number is only as good as the one place it actually comes from
Great catch before it shipped. I like the “one source of truth” framing - pulling reports from one validated source makes it much harder for a duplicate dashboard to quietly skew the number again.
Threadly is a SaaS dashboard for independent sellers who need one clear workspace for products, orders, stores, and sales performance.
We focused on making commerce data feel approachable: key metrics are easy to scan, top products stay visible, recent orders are structured clearly, and product quick views give sellers deeper context without interrupting their workflow.
See the design:
https://dribbble.com/shots/27777724-Dashboard-E-commerce
3 signs you're finding out about outages too late:
1. Customers report problems before your team does
2. Monitoring exists, but nobody's watching the dashboard
3. The same failure has happened more than once
→ If this sounds familiar, the fix is proactive alerts, not a better dashboard.
Those proactive alerts jump on the problem before customers call, keeping the same glitch from resurfacing.