You will get a custom machine learning model for your data
Rising Talent
Project details
You will get a custom machine learning model trained on your own dataset for classification, regression, or prediction tasks built with clean, well documented Python code you can actually use and extend.
I'm a Micro1 certified Machine Vision Engineer who has built multiple end-to-end ML projects, comparing several algorithms
(Random Forest, XGBoost, Logistic Regression, and others) to select the best-performing model for the specific dataset, rather
than defaulting to one approach.
I deliver evaluated, tested models with clear metrics not just a script that runs once. You'll get feature importance analysis where relevant, visualizations of model performance, and a codebase that's easy to hand off to your team.
Tell me what you're trying to predict and a bit about your data, and I'll confirm the right approach before starting.
I'm a Micro1 certified Machine Vision Engineer who has built multiple end-to-end ML projects, comparing several algorithms
(Random Forest, XGBoost, Logistic Regression, and others) to select the best-performing model for the specific dataset, rather
than defaulting to one approach.
I deliver evaluated, tested models with clear metrics not just a script that runs once. You'll get feature importance analysis where relevant, visualizations of model performance, and a codebase that's easy to hand off to your team.
Tell me what you're trying to predict and a bit about your data, and I'll confirm the right approach before starting.
Machine Learning Tools
NumPy, pandas, Python, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50Frequently asked questions
About Zain
Computer Vision Engineer | YOLOv8 & Medical AI | Deep Learning, Python
Islamabad, Pakistan - 4:03 pm local time
As a Micro1 certified Machine Vision Engineer, I specialize in real-time object detection (YOLOv8, OpenCV), deepfake and forensic image detection, and medical image analysis using DenseNet121 and CNN architectures.
What I've built and shipped:
• Real time object detection pipeline YOLOv8 + OpenCV, tested on live video
• Deepfake detection system AUC 0.8994, deployed live on Streamlit
• Multi disease medical image classifier DenseNet121, trained across 14 conditions
• Weakly supervised satellite image segmentation DeepLab v3+, ResNet101, custom Focal Partial Cross Entropy loss, delivered for a paid client
• RAG-based document chatbot LangChain, vector search
Tech stack: Python, TensorFlow, PyTorch, Keras, OpenCV, YOLOv8, Scikit-learn, Streamlit, FastAPI, LangChain.
I trained as an AI/ML intern at CodeAlpha and have completed paid freelance projects with verified client reviews. I take time to understand the actual problem before writing a line of code, and I deliver tested, working systems.
Send me your project details and I'll tell you honestly whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Review data & define target
Review your dataset and confirm what you're trying to predict, then define the scope and approach that fits your data.
Preprocess & engineer features
Clean the data, handle missing values, and engineer features that improve model performance.