JohnPeter Mwangi Mukuha
@mwangimukuha94.bsky.social
25 followers 46 following 93 posts
Data Science, Agribusiness, Writer, Avid reader, Curious, Walks
Posts Media Videos Starter Packs
Reposted by JohnPeter Mwangi Mukuha
Never judge a book by its cover!
Good evening sufferers! How was your day? This post should open your eyes to how 'suffering' is imaginary and in our minds.
In this post, I share how I’m now using stakeholder analysis to turn public KNBS data into targeted, action-ready briefs.

No fluff — just real steps from my weekly Data-to-MVP projects.
📊 Most data work fails quietly.

Not because it's wrong — but because it's disconnected from decision-makers.
🧵 (4/5): Appraisal Anchoring = Risk
Most SACCOs still rely on old-school valuation logic.
But this ignores modern demand shifts (e.g. solar, internet) and liquidity realities.
Historical value ≠ market truth in 2025.
🧵 (3/5): Gross Yield ≠ Profitability
A 2-bedroom townhouse has Kenya’s highest gross yield at 8.3%.
But yields mean nothing without accounting for vacancy, cost, and churn.
Are SACCOs overvaluing these “hot” assets?
🧵 (2/5): Long Off-Take = Hidden Liquidity Risk
New data shows some apartments take up to 19 months to sell.
This ties up capital, reduces sale prices, and weakens SACCO loan recovery.
Still lending blindly to slow-moving assets?
🧵 (1/5): Real Estate x SACCOs x Data Blind Spots
Kenya’s SACCOs are powering homeownership—but the latest data shows they might be underestimating key risks in real estate lending.
Why does this matter? New KNBS data tells the story.
4/5:
This work stands for something.
We shouldn't wait for outsiders to tell us what our own data means.
Local decisions need local data—understood locally.
3/5:
For data pros: it’s a workflow to extract, clean & analyze public datasets.
For decision makers: it’s how to see and use local data to inform real choices.
2/5:
I built an open-source method: “data-for-impact”
It's a clean, replicable process to turn raw local data into powerful, decision-ready narratives.
1/5
Most local datasets in Kenya — like those from KNBS — are stuck in PDFs, hard tables, or technical formats.
📊 The data is there. But the story? Hidden.
Kenya’s new AI strategy isn’t just a policy paper — it’s a deliberate push to claim tech leadership in Africa. But how well can a country balance ambition with capacity, infrastructure, and real-world challenges?

jpmwangimukuha.blogspot.com/2025/05/insi...
#KenyaAI #AfricaTech #Datascience #AI
what do you mean " tips for training models on low-resource languages like Swahili"... Swahili is my mother tongue... let me check this one out.
why that paper? what has this paper helped you to achieve?
4/ Public-private partnerships are crucial. Are startups and investors ready to deliver? #InnovationEcosystem