Data Analytics Specialist → AI-Augmented Analytics Leader
I'm a Data Analytics Specialist at Jubilee Insurance Kenya. I turn messy data into decisions people actually act on. The sweet spot is where traditional analytics meets AI—and that's where I build. niko kenya
We're at an inflection point in analytics. The next decade belongs to analysts who can build, not just report.
Find the exact workflow where AI saves real time
Practical builds that people actually use
From model outputs to executive outcomes
So non-technical teams can move fast too
This is the work I want to do. niko tayari — and I've already started.
I didn't want to just say I'm into AI. I built it, tested it, and shipped it.
The Problem
Executive dashboards still take days of back-and-forth — data profiling, KPI debates, visualization choices, then narrative clean-up.
My Solution
The Problem
Recruiters have limited time. They want fast, specific answers without scanning a whole portfolio.
My Solution
The Problem
Claims analysis is slow and inconsistent — two analysts can score the same claim differently.
My Solution
Interactive architecture visualization: provider switching first, system flow second.
Interactive control desk
Five scenes, one reel: intro, provider routing, architecture flow, impact metrics, and outro. Built to showcase visual thinking.
Jump points
This reel runs live in the browser - no GIFs, no shortcuts.
Real-world impact at Jubilee Insurance Kenya.
Executive Dashboards
Serving 200+ decision-makers across the C-suite
Hours Saved Annually
Automation that clears recurring reporting debt
Fraud Prevented
Analytics-driven fraud detection wins
Reduction in Requests
Self-service analytics adoption at scale
I see three waves of adoption in data teams — and I want to build Wave 2.
I want to build Wave 2 and set the runway for Wave 3. hiyo ndio kazi
Domain expertise, technical foundation, and a builder mentality.
Insurance, finance, and business analytics — I spot high-impact AI use cases fast.
SQL, Python, data modeling — I build, not just ideate.
I see a gap and ship a fix. No waiting around.
I translate AI capability into business outcomes executives trust.
Self-taught to build AI apps in days. I move quickly.
Let's talk about the future of AI in analytics.
Where do you want AI to make analysts 10x faster first?
Which pain point keeps repeating in your analytics workflow?
What is your build vs. buy line, and where are you open to experiments?
In year one, what outcome makes you say, "this worked"?
How do you want responsible AI handled — guardrails, reviews, or both?
I'm not just looking for a job. I'm looking for a team that wants to ship real AI tools, not slide decks.
Imagine every analyst having an AI assistant that builds dashboards 10x faster. Every executive getting proactive insights. Every decision backed by AI-augmented analysis.
This is the future I want to help build. niko tayari.
“The best way to predict the future is to build it.”
— Angela Gitonga