You will get An end-to-end ML model with preprocessing, feature engineering, and tuning
Project details
I deliver high-precision machine learning solutions built with clean, production-ready code and a deep focus on data quality, model reliability, and real-world performance. Unlike generic model builders, I combine rigorous statistical analysis with advanced ML techniques — including ensemble learning, deep learning, and feature engineering — to create models that not only perform well, but generalize and scale.
My workflow is transparent, well-documented, and aligned with industry best practices, ensuring every model is explainable, maintainable, and deployment-friendly. Whether you're optimizing business decisions, predicting outcomes, or automating insights, I bring end-to-end expertise that bridges the gap between data, modeling, and real value.
My workflow is transparent, well-documented, and aligned with industry best practices, ensuring every model is explainable, maintainable, and deployment-friendly. Whether you're optimizing business decisions, predicting outcomes, or automating insights, I bring end-to-end expertise that bridges the gap between data, modeling, and real value.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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.
Additional Model Variation
(+ 1 Day)
+$7
Additional Scenario
(+ 2 Days)
+$10
Additional Graph/Chart
(+ 1 Day)
+$2
Model Documentation
(+ 1 Day)
+$3
Feature Engineering
(+ 1 Day)
+$8
Data Cleaning & Processing
(+ 2 Days)
+$12Frequently asked questions
About Hassan
Machine Learning Engineer | Data Scientist | Predictive & Deep-Learnin
Karachi, Pakistan - 6:27 am local time
Here’s what I bring to your project:
• Full-stack ML pipeline: data cleaning, feature engineering, modeling, tuning, deployment.
• Proficient in Python, Pandas, NumPy, Scikit-Learn, TensorFlow/Keras, XGBoost.
• Experience with image classification, NLP-based text classification, and business-critical predictive modelling.
• Clear deliverables: Jupyter notebooks + trained model files + performance reports + deployment guidance.
I don’t just build models—I build solutions that align with business goals. If you’re looking for a partner who turns data into actionable intelligence, let’s connect and make it happen.
Steps for completing your project
After purchasing the project, send requirements so Hassan can start the project.
Delivery time starts when Hassan receives requirements from you.
Hassan works on your project following the steps below.
Revisions may occur after the delivery date.
Project kick-off & data collection
Gather dataset(s), sample records, access details, and the project goal (target metric and success criteria). Deliverable: checklist of received files/credentials and confirmed project scope.
Exploratory Data Analysis (EDA)
Inspect data quality, class balance, missing values, feature types, and quick visualizations to surface issues and opportunities. Deliverable: short EDA report with key findings and recommended next steps.