You will get a predictive model on your data
Project details
Predict What Matters – With Your Data
Do you have data — and questions?
I’ll turn your dataset into valuable predictions using machine learning.
Whether you're a startup, researcher, or small business, I’ll:
✅ Build a custom prediction model (classification or regression)
✅ Clean and prepare your data
✅ Explain what drives the results
✅ Deliver clear visualisations and a summary report
Perfect for:
Customer churn, sales forecasts, or user behaviour
Academic or health research
Product usage or trend prediction
Any structured dataset with a goal
You provide the data — I provide the insights.
Deliverables include:
Clean, well-documented Python code
Visuals showing model performance
Easy-to-read summary for non-technical stakeholders
Optional technical breakdown for teams and engineers
Do you have data — and questions?
I’ll turn your dataset into valuable predictions using machine learning.
Whether you're a startup, researcher, or small business, I’ll:
✅ Build a custom prediction model (classification or regression)
✅ Clean and prepare your data
✅ Explain what drives the results
✅ Deliver clear visualisations and a summary report
Perfect for:
Customer churn, sales forecasts, or user behaviour
Academic or health research
Product usage or trend prediction
Any structured dataset with a goal
You provide the data — I provide the insights.
Deliverables include:
Clean, well-documented Python code
Visuals showing model performance
Easy-to-read summary for non-technical stakeholders
Optional technical breakdown for teams and engineers
Machine Learning Tools
Python, scikit-learnWhat's included
| Service Tiers |
Starter
$90
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$40
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$30
Model Validation/Testing
(+ 2 Days)
+$40
Model Documentation
(+ 2 Days)
+$50
Data Source Connectivity
(+ 3 Days)
+$65
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jb
james b.
Dec 18, 2025
Imagine a more fun way to design a mix and match game
She is absolutely the best and creative game design with knowledge in every field which contributes to gaming
About Millie
Data Cleaning & Consolidation Specialist
Reading, United Kingdom - 10:07 pm local time
If you have multiple CSV or Excel files that don’t line up, columns that don’t match, duplicate rows, inconsistent naming, broken formatting, or data that just feels chaotic, that’s exactly the kind of work I do.
I clean and consolidate datasets so they’re structured, readable, and actually usable.
I don’t build dashboards.
I don’t do vague “AI strategy”.
I don’t overscope projects.
I take messy data and turn it into one clean, consistent master dataset.
That includes:
- Standardising column names
- Removing duplicates
- Merging multiple files or sheets
- Fixing inconsistent formats (dates, currencies, IDs)
- Structuring datasets so they’re analysis-ready
I work best with clear scope and defined outcomes. You send the files, explain the goal, and I’ll tell you exactly what I’ll do and when it’ll be delivered.
I prefer written communication and structured projects. No unnecessary meetings. No chaos.
If you want your dataset cleaned properly and without drama, I’m your person.
Steps for completing your project
After purchasing the project, send requirements so Millie can start the project.
Delivery time starts when Millie receives requirements from you.
Millie works on your project following the steps below.
Revisions may occur after the delivery date.
Review & Clarify
I’ll review your dataset and goals We’ll agree on the prediction task (e.g. churn, price, category) I’ll confirm feasibility and propose a tailored approach
Data Cleaning & Preparation
Handle missing values, data types, and outliers Encode categorical variables and scale numerical ones Split data into training/testing sets