You will get A Custom Data & Automation Tools for Your Business
Project details
Chasing late payments. Manually counting stock. Doing the same data entry every week. Losing a customer you didn't even know was unhappy. Clicking a fake vendor email by mistake. None of this needs a human doing it every time — and most of it is costing you more than you realize.
I build custom tools that automate this, so it stops happening:
Fake vendor and Scam emails → automatically flagged before anyone clicks them
Customers about to cancel → flagged early, before they actually leave
Guessing how much stock to order → replaced with a forecast based on your actual sales
Manual reconciliation and data entry → done automatically
Messy spreadsheets → turned into a clean dashboard you can trust
Every business is different, so I don't sell a fixed template — I build around your actual data and your actual problem.
I build custom tools that automate this, so it stops happening:
Fake vendor and Scam emails → automatically flagged before anyone clicks them
Customers about to cancel → flagged early, before they actually leave
Guessing how much stock to order → replaced with a forecast based on your actual sales
Manual reconciliation and data entry → done automatically
Messy spreadsheets → turned into a clean dashboard you can trust
Every business is different, so I don't sell a fixed template — I build around your actual data and your actual problem.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$40
Additional Model Variation
(+ 1 Day)
+$30
Additional Scenario
(+ 1 Day)
+$30
Additional Graph/Chart
+$15About Al-Amin
Python Developer
Abuja, Nigeria - 6:58 am local time
I help small businesses automate the manual, error-prone parts of their operations using machine learning: catching threats before they cause damage, predicting customer behavior before it happens, and turning raw data into decisions you can actually act on.
What I do:
Security automation — phishing/fraud detection pipelines that catch malicious emails and links before they reach your team
Predictive systems — customer churn, risk scoring, and demand forecasting models that flag problems before they cost you money
Custom ML tools — from no-code interfaces for non-technical teams to full API-integrated backend systems (Flask/FastAPI)
Tech stack: Python • C++ • TensorFlow • PyTorch • Scikit-learn • Flask/FastAPI • Computer Vision • NLP
Recent work:
Built an end-to-end phishing/fraud detection pipeline using Random Forest classification on structural URL features
Built an explainable AI-vs-human text detection system for content moderation use cases
Built a no-code ML platform (Angler) so non-technical teams can train and deploy models without writing code
I move fast, communicate clearly, and I'm easy to work with — you'll always know exactly where your project stands. If you're not sure whether ML fits your problem, message me anyway — I'll tell you honestly if it does or doesn't.
Steps for completing your project
After purchasing the project, send requirements so Al-Amin can start the project.
Delivery time starts when Al-Amin receives requirements from you.
Al-Amin works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Review
I review your data (or help identify what's needed), understand your business problem, and confirm the right ML approach before any coding starts.
Data Preprocessing & Cleaning
I clean, transform, and prepare your data — handling missing values, formatting issues, and feature engineering to get it model-ready.