A London-based Computer Scientist specialising in ML, NLP, Deep Learning and Computer Vision — handling everything from raw data preparation and cleaning through to fully trained, documented and deployable models tailored to your requirements.
I Will Build Machine Learning, NLP or Deep Learning Models for Your Project
Data cleaning and a trained supervised ML model — the essential foundation.
- Full data preparation and cleaning pipeline
- Supervised ML model built and trained on your data
- Research into the most appropriate algorithm for your task
- Model creation delivered as working code
- Unlimited revisions
- Pre-order discussion to confirm scope
Everything in Starter, plus cloud deployment and full model documentation.
- Everything included in the Starter tier
- Cloud deployment so your model is live and accessible
- Comprehensive model documentation explaining architecture and decisions
- Research and model creation as standard
- Unlimited revisions
- Pre-order discussion to confirm scope
Full end-to-end delivery: model, documentation, cloud deployment, and API integration.
- Everything included in the Standard tier
- API integration so your app or team can query the model in real time
- Cloud deployment with full documentation
- Advanced DL architectures available (CNNs, ResNet, VGG16, MLPs)
- Unlimited revisions
- Pre-order discussion to confirm scope
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Value Position
Algorithm Coverage
NLP Preprocessing
Deployment & Integration
Project Scope
What You'll Receive
Full Description
If you need a machine learning or deep learning solution that actually works on your data, you are in the right place. Whether your project involves text classification, image recognition, object detection, a recommender system, or a custom supervised learning pipeline, this service covers the full journey — from messy raw data to a production-ready model.
Every engagement begins with a discussion. No two data science projects are identical, so please reach out before placing an order to ensure the scope, dataset, and deliverables are clearly agreed from the start. This protects your budget and guarantees the right solution is built for your specific problem.
**What is covered**
Data preparation is the foundation of every model here. That includes lowercasing, HTML tag and URL removal, whitespace cleaning, spelling correction, stopword removal, punctuation handling, tokenisation, stemming, and lemmatisation — the full text pre-processing stack when working with language data, and equivalent cleaning pipelines for structured or image data.
Feature engineering draws on Bag of n-grams, character n-grams, TF-IDF, Word2Vec, Hidden Markov Models, and other advanced extraction techniques suited to the task at hand.
Model development spans the breadth of modern machine learning and deep learning. Classical ML algorithms include Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, k-Nearest Neighbours, Naïve Bayes, Linear Regression, and Support Vector Machines. Deep learning architectures include Multilayer Perceptrons, Convolutional Neural Networks, and advanced designs such as LeNet-5, ResNet, and VGG16 — selected based on your task requirements.
Project types completed include Classification Systems, Regression Models, Recommender Systems, Information Retrieval Systems, Object Detection pipelines, and NLP applications — using both statistical and neural network approaches.
**The three tiers**
The entry tier delivers data cleaning and a trained supervised ML model. The standard tier adds model documentation so you understand exactly what was built, and cloud deployment so the model is live and accessible. The full tier adds API integration on top of all of that, giving your application or team a clean interface to query the model in real time.
**Who this is for**
Startups validating an AI-powered product, researchers needing a working prototype, developers adding ML capabilities to an existing application, and businesses looking to extract insight or automate decisions from their data. If you are unsure whether your project is a fit, start a conversation — the scope can always be tailored.
**Why this seller**
Based in London with a Computer Science degree and hands-on experience across NLP, Computer Vision, Deep Learning, and classical ML, this is not a general-purpose development service — it is a focused data science practice with genuine depth across the algorithms, pre-processing pipelines, and deployment approaches that modern ML projects demand.
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Compare Packages
| Feature | Starter | Standard | Premium |
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 6 days |
| Revisions | unlimited | unlimited | unlimited |
| Full data preparation and cleaning pipeline | ✓ | ✕ | ✕ |
| Supervised ML model built and trained on your data | ✓ | ✕ | ✕ |
| Research into the most appropriate algorithm for your task | ✓ | ✕ | ✕ |
| Model creation delivered as working code | ✓ | ✕ | ✕ |
| Unlimited revisions | ✓ | ✓ | ✓ |
| Pre-order discussion to confirm scope | ✓ | ✓ | ✓ |
| Everything included in the Starter tier | ✕ | ✓ | ✕ |
| Cloud deployment so your model is live and accessible | ✕ | ✓ | ✕ |
| Comprehensive model documentation explaining architecture and decisions | ✕ | ✓ | ✕ |
| Research and model creation as standard | ✕ | ✓ | ✕ |
| Everything included in the Standard tier | ✕ | ✕ | ✓ |
| API integration so your app or team can query the model in real time | ✕ | ✕ | ✓ |
| Cloud deployment with full documentation | ✕ | ✕ | ✓ |
| Advanced DL architectures available (CNNs, ResNet, VGG16, MLPs) | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.

Build Machine Learning, NLP or Deep Learning Models for Your Project


Build Machine Learning, NLP or Deep Learning Models for Your Project

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Frequently Asked Questions
Yes — please always reach out before ordering. Every ML project has unique data, scope, and objectives, and a brief discussion ensures the right tier and approach are confirmed before work begins. This protects your budget and avoids any mismatch in expectations.
You will need to supply your dataset (or a clear description of it), your target outcome or problem statement, and any constraints or preferences around algorithms, frameworks, or deployment environments. The clearer the brief, the faster the delivery.
Start a conversation and describe your project. The Starter tier suits those who need a trained model and clean code to work with further themselves. The Standard tier is ideal if you need a deployed model with documentation. The Premium tier is the right choice when you need a live API that external systems or apps can call directly.
Classical ML includes Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, k-Nearest Neighbours, Naïve Bayes, Linear Regression, and SVM. Deep learning covers MLPs, CNNs, LeNet-5, ResNet, VGG16, and other architectures suited to image or sequential tasks. The right algorithm is chosen based on your data and objective.
The documentation explains the architecture chosen, the pre-processing steps applied, the features used, the training process, evaluation metrics, and guidance on how to use or extend the model. It is written so that a technical team member can pick it up and understand exactly what was built and why.
The trained model is packaged and deployed to a cloud environment so it is live and accessible — not just a local script. The specifics (platform, configuration) are agreed during the pre-order discussion based on your existing infrastructure and preferences.
All tiers include unlimited revisions, meaning if the model output or code does not meet the agreed spec, adjustments are made until it does. Revisions are scoped to the original agreed brief — significant changes to the problem statement or dataset may require a new discussion.
Projects include Classification Systems, Recommender Systems, Information Retrieval Systems, Object Detection pipelines, NLP text processing applications, and regression models — using both statistical and deep neural network approaches across a range of domains.
Customer Reviews
See what our customers say about this Zinn
I had an amazing experience working with him! He is absolutely outstanding and provided excellent work. I highly recommend him – don't hesitate to work with him!!! He's awesome, everyone.
Neil is working on a morpho-syntactical analysis project for my Japanese students. I look forward to seeing it finished soon.
Did amazing work! Would recommend
He solved my problem quickly and perfectly, and had the patience to guide me towards the solution. I strongly recommend his services and cannot wait to work together once again!
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