I will make a machine learning model for your data


About this gig
Are you sitting on data but don't know what to do with it? I'll build you a machine learning model that actually works.
Whether you need to predict customer churn, classify images, detect fraud, forecast sales, or analyze sentiment I'll turn your raw data into a working, accurate ML model with clean code and a full report you can actually understand.
What I Can Build For You
- Classification models (spam detection, disease prediction, customer segmentation)
- Regression models (price prediction, sales forecasting, demand estimation)
- Natural Language Processing (sentiment analysis, text classification, keyword extraction)
- Computer Vision models (image classification, object detection)
- Clustering & anomaly detection (fraud detection, pattern recognition)
- Deep learning models (neural networks, CNNs, RNNs)
My Process
Every project follows a clean, professional workflow:
- Data review I analyze your dataset and identify quality issues
- Preprocessing Missing values, encoding, scaling, feature engineering 3Model selection I pick the best algorithm for your specific problem
- Training & tuning Hyperparameter optimization for maximum accuracy
- Evaluation Accuracy, F1, AUC-ROC, confusion matrix wha
Get to know Nohan Baloch
AI Engineer
- FromPakistan
- Member sinceDec 2020
- Avg. response time5 hours
Languages
English, Urdu
My Portfolio
FAQ
What kind of dataset do I need to provide?
Any structured data works — CSV, Excel, JSON, or a database export. For computer vision tasks, an image folder with labels is fine. If your data is messy or incomplete, don't worry — data cleaning is part of my process.
What if I don't have a dataset yet
I can work with publicly available datasets (like Kaggle or UCI) if you describe your problem clearly. Just message me first and we'll figure out the best approach together.
Will I be able to run the model myself after delivery
Yes. I deliver clean, well-commented Python code with step-by-step instructions so you can run it locally or in Google Colab without any ML background required.
What programming language do you use?
Python — the industry standard for machine learning. All code is delivered as a .py script or Jupyter Notebook (.ipynb), whichever you prefer.
Can you deploy the model to a web app or API?
Basic deployment (Flask/FastAPI REST API) can be added as a custom extra. Message me before ordering and I'll put together a custom offer for you.
How do revisions work?
A revision means adjusting the model approach, tuning parameters, or fixing any issues with the deliverables. It does not include changing the project scope entirely after delivery. If your requirements change mid-project, we can discuss a custom arrangement.
What if my results aren't accurate enough?
Accuracy depends heavily on data quality and the nature of the problem. I'll always tell you upfront if your dataset is unlikely to produce strong results — I won't take your money for something that won't deliver value.
How do I get started?
Just message me with a short description of your problem and your dataset. I'll review it and get back to you quickly with a recommendation and the right package for your needs.

