Data, agricultural NGO
Agricultural field-data system
The collection system field teams use to record what happens at every district, pod and site, 9 districts and 46 pods in all, so records come back clean instead of needing a week of tidying.
Data & automation engineer
Christian
Anejo
I build the pipelines, workflows, and collection tools that turn messy operational data into decisions people can act on. Most of it runs quietly in production, from agency client systems to programmes serving smallholder farmers.
70,000+farmers' engagement supported
50+automations shipped across Europe and Africa
Hundredsof work hours handed back to teams
20,000+customers served through rural retail, on analytics I built
1,000+maintenance jobs planned across 200+ real estate properties
Selected work
Things I've built that people and businesses now depend on, doing real work that nobody has to think about.
Data, agricultural NGO
Rural retail sales analytics
Pipelines and dashboards behind field officers and farmer prospecting: how each district and shop is really selling, and early warning when a dealer starts slipping away.
Data, agricultural NGO
Stakeholder alerts & reporting
Automatic alerts and reporting emails that keep decision-makers current on operations, so nobody spends their morning pulling numbers by hand.
Automation, agricultural NGO
Contract renewals that don't get missed
Reads the HR paperwork, works out whose contract is about to lapse, and tells their manager before it does. Days of chasing paper between desks, now minutes, and nobody finds out too late.
Automation, property management client
Field service planning that plans the route, not just the job
Repair jobs arrive by email, emergency form and partner company. This reads them all, books the right engineer on the right day, and turns the day into a sensible driving route. Emergencies jump the queue, the rest re-plans itself. Eight minutes a booking down to thirty seconds, across 503 slots with no clashes.
Automation, vending operator
Customer support that always answers
Vending machines in amusement parks across two countries. When one eats a family's money, they message the number on the front. This reads the message and the photo, works out what failed, answers in their language, and issues a refund code if one is owed. 800+ cases, usually inside a minute, seven languages.
Automation, e-learning software client
Bilingual content generator
One brief in; a finished, illustrated article out in English and Dutch. It researches against live search and the client's own product docs, so the copy matches what the software actually does. It files to the CMS as a draft, and a person still presses publish. 44 articles so far.
Automation, healthcare procurement client
A content generator that knows when not to post
Its audience is medical specialists, where generic posting does real damage. So it watches 22 healthcare sources and puts every story through five rounds of filtering before a word gets written. What survives becomes a Dutch LinkedIn post with a branded image, waiting in the comms inbox for a yes. Nothing publishes itself.
Automation
Automated hiring, up to the final interview
Hiring that goes further than screening CVs. It reads every application, then phones candidates and runs the first two rounds itself, holding a real conversation. Everyone is compared on the same basis, and only the shortlist worth a human's time comes through. The only interview a person runs is the last one.
Watch the walkthroughAutomation
Finding and reaching the right people
Works out who actually makes the decision at a target company, finds a verified way to reach them, writes an opener specific to them rather than a mail-merge, and keeps the follow-up organised.
Watch the walkthroughAutomation
Proposals out the same hour as the call
Turns the notes from a sales call into a finished, properly written client proposal, sends it internally for a yes, then delivers it while the conversation is still fresh instead of three days later.
Watch the walkthroughAutomation
Invoices that file themselves
Spots invoices as they arrive in the inbox, reads the amounts, dates and supplier off them, and puts everything into one place, so nobody is retyping numbers off a PDF.
Watch the walkthroughWhat people say
The people who ran the systems after I handed them over.
Chris has an impressive sense of ownership. He takes a problem off your desk and you stop thinking about it.
KleinCEO, Triad Marketing
Workorder planning automation has saved us hours of manually planning over a thousand work orders.
I used to spend hours writing blog posts, but now I just fill out a simple form with my ideas, and it becomes a beautifully written blog post that goes straight to my site in two different languages in less than five minutes. Thank you!
•••
And plenty more where these came from
Happy to put you in touch.
Where I've done it
Data and automation roles across an agricultural NGO, a remote automation agency, and applied engineering research.
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Data & Automation Analyst, Operations
Sep 2025 – PresentAgricultural NGO
Reporting, insight and automated data flows behind the engagement of 70,000+ farmers across 4 states.
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Administrative Officer, Rural Retail
Mar 2025 – Aug 2025Agricultural NGO
Pipelines, dashboards and ODK survey tools that standardised field data collection, plus the sales analysis the retail operation ran on.
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Automation Engineer
Dec 2023 – Jan 2025Automation agency, Netherlands (remote)
Architected and shipped production automation for multiple clients across n8n, Python and Supabase, integrating third-party APIs, databases and LLM services into systems that held up in real use.
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Machine Learning / Analytics Intern
Oct 2023 – Jan 2024Artificial Intelligence for Clean Energy
Regression and classification models for prediction analysis, across the full ML workflow from preprocessing to evaluation.
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Research Intern
Apr 2022 – Sep 2022Helios Post Harvest Ltd
Built an IoT-enabled smart irrigation control system with remote data monitoring.
Stack
The tools most of this is built on.
Languages & data
- Python
- SQL / PostgreSQL
- Supabase
- Excel & Google Sheets
- Google Apps Script
Automation & integration
- n8n
- REST APIs & webhooks
- LLM integration
- Structured-output parsing
- Superset & dashboards
Field data & ML
- ODK & KoboToolbox
- XLSForms
- Dataiku
- Regression & classification
- Cascading geo-hierarchies
Background
I'm a mechatronics engineer turned data and automation engineer. I build the unglamorous machinery that lets an organisation act on its own data: pipelines, workflows, dashboards, and the collection tools that hold everything together.
Most of my work sits where software meets the real world. I've built automation that businesses run on daily, and I've spent long days at distribution sites making sure the records that leave a laptop reach the farmer at the front of the queue. The rule is the same in both places: build it so it holds when someone depends on it.
- RoleData & Automation Analyst, agricultural NGO
- FocusPipelines, automation, field data
- DegreeB.Eng. Mechatronics, FUT Minna
- LearningCore Data Engineering certification
- BaseNigeria, open to remote
Have a process that should run itself? Let's build it.
Whether it's an automation that removes a daily bottleneck or a data system that makes the field legible, send a note and I'll reply.