Data analysis and n8n automation

Messy data in. Clear answers out.

I turn scattered numbers and repetitive tasks into insight and workflows that people can trust and keep running.

Start a conversation See how I think
Open to thoughtful projects and opportunities
WORKFLOW / 001READY TO RUN
01
Collect the sourcessheets, forms, inbox
✓
02
Clean and standardisefix labels, remove duplicates
✓
03
Surface the signaltrends, changes, outliers
✓
04
Send the summaryemail, chat, dashboard
✓
The work, in a lineMessy inputsTrusted definitionsUseful signalsWorkflows that hold
Where I can help

Less friction. Better decisions.

Analysis shows what is happening. Automation handles the routine part. Together they free you to decide what to do next.

Make the numbers make sense.

Bring scattered, inconsistent data into one reliable view, from cleaning and joining to a dashboard people actually use.

Data cleaningSpreadsheetsDashboards

Give repetitive work a way out.

Connect the tools you already use. n8n workflows move information, handle routine steps, and leave a clear trail.

n8n workflowsAPI connectionsNotifications

Put a signal in the noise.

Turn recurring reports into a clear read on what changed, what matters, and what might need a closer look.

KPI designTrend analysisReporting

Make it dependable after handoff.

Document the moving parts, add sensible failure paths, and make sure the person who inherits it is not left guessing.

QA and monitoringDocumentation
A look at the work

Problems, then practical systems.

Replace these cards with your real projects, one problem, one build, one result each. Status labels keep them honest.

DATA ANALYSIS / PROJECT AIN PROGRESS

Food price tracker and forecast

Track staple food prices over time, find the trend, and forecast what comes next so buyers and planners can act earlier.

EXAMPLE SHAPE, NOT REAL DATA

Build: clean price dataset → trend view → forecast

WORKFLOW DESIGN / PROJECT BCONCEPT

An inbox that summarises itself

Important emails are picked out, grouped by type, and sent as a short digest to a chat app, so nothing urgent hides in the pile.

EXAMPLE FLOW, NO OUTCOME CLAIMED

Build: n8n flow + clear error handling

REPORTING SYSTEM / PROJECT CCONCEPT

One useful metric, found in a crowded report.

Many reports list a dozen measures with no sign of which needs action. A short list of agreed indicators makes the review faster and more focused.

Build: KPI definitions → decision-ready view

How I work

Make the next step obvious.

Good systems start with listening. I want to understand the real handoffs, definitions, and exceptions before deciding what to build.

Edit this section to match your actual working style.

01
Find the friction

Map the current process, its inputs and decisions. Start with the task that costs the most attention.

02
Make the data usable

Check definitions, clean the source, and agree on what a trustworthy answer should look like.

03
Build the smallest useful system

A clear analysis or a focused workflow first, with no extra machinery for its own sake.

04
Test the edges, then hand it over

Try real-world exceptions, document the logic, and leave a clear path for what comes next.

Working principles

Useful by design. Understandable by default.

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Clarity before cleverness

If the person using it cannot explain what it does, it is not finished.

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Useful beats impressive

The best dashboard changes a decision. The best automation is one you can trust.

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No black boxes

Visible logic, sensible alerts, and documentation are part of the deliverable.

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Small steps, real context

Build around the tools and constraints already in the room, then improve from there.

Placeholder bio. Replace it with your own background, location, and examples before publishing.

About

A person who likes when the pieces finally line up.

I am an economist and statistician in Ogun State, Nigeria. I work across data analysis and automation to make everyday operations easier to understand and easier to run, with a focus on information that can be trusted and workflows that stay clear enough to maintain.

n8nSQLSpreadsheetsData visualisationAPIsDocumentation
Have a process in mind?

Let's make the next step clearer.

Tell me what is taking too long, hard to see, or too easy to forget. We can start with the actual problem.

Email me