You will get ML Engineer | End-to-End AI Solutions for Predictive Business Insights
Rising Talent
Project details
You will get a production-ready Machine Learning solution tailored to your business needs. Whether you need predictive analytics, classification, regression, time-series forecasting, recommendation systems, NLP, computer vision, or deep learning, I build scalable, accurate, and maintainable ML solutions using industry best practices.
With extensive experience in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, SQL, and cloud platforms, I develop end-to-end machine learning pipelines—from data preprocessing and feature engineering to model training, evaluation, deployment, and documentation.
Every project includes clean, well-documented source code, model validation, performance evaluation, and clear communication throughout the development process. I focus on delivering reliable AI solutions that solve real business problems and can be deployed in production environments.
Whether you're a startup, researcher, or enterprise, I'll help transform your data into actionable insights with scalable machine learning solutions delivered on time and with high quality.
With extensive experience in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, SQL, and cloud platforms, I develop end-to-end machine learning pipelines—from data preprocessing and feature engineering to model training, evaluation, deployment, and documentation.
Every project includes clean, well-documented source code, model validation, performance evaluation, and clear communication throughout the development process. I focus on delivering reliable AI solutions that solve real business problems and can be deployed in production environments.
Whether you're a startup, researcher, or enterprise, I'll help transform your data into actionable insights with scalable machine learning solutions delivered on time and with high quality.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, ChatGPT, Databricks Platform, GitHub Copilot, Keras, NumPy, pandas, Python, R, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Hassan
Data Scientist | AI & ML Engineer | Data Engineer
Gujrat, Pakistan - 7:41 am local time
I help businesses transform data into actionable insights through machine learning, deep learning, predictive analytics, and AI-driven solutions.
My expertise spans the complete machine learning lifecycle—from data collection, cleaning, and feature engineering to model development, evaluation, deployment, and optimization. I have experience working with time-series data, sensor analytics, computer vision, forecasting, anomaly detection, classification, and predictive modeling across healthcare, agriculture, remote sensing, and human activity recognition domains.
What I can help you with:
• Machine Learning & Deep Learning (Scikit-Learn, TensorFlow, PyTorch)
• Predictive Analytics & Forecasting
• Time-Series Analysis and Anomaly Detection
• Computer Vision (OpenCV, MediaPipe, OpenPose, CNNs)
• Data Science & Statistical Analysis
• ETL Pipelines and Data Processing
• Feature Engineering and Model Optimization
• Python Development (Pandas, NumPy, Matplotlib, SciPy)
• SQL and Database Analytics
• Explainable AI (XAI) and Model Interpretability
• Research, Prototyping, and Proof-of-Concept Development
Selected Experience:
âś” Developed machine learning models for early detection of animal behavioral anomalies using large-scale sensor time-series data.
âś” Built human activity recognition systems using a webcam and computer vision, achieving 92% model accuracy.
âś” Developed deep learning models for satellite image enhancement and quality improvement using CNN-based architectures.
âś” Created multimodal deep learning solutions for medical imaging classification with explainability and model interpretation techniques.
Why work with me?
I combine strong analytical thinking, research expertise, and practical machine learning implementation skills to deliver solutions that are accurate, scalable, and business-focused. Whether you need a prototype, predictive model, data pipeline, computer vision application, or end-to-end AI solution, I focus on delivering high-quality work with clear communication and measurable results.
Let's discuss how I can help turn your data into value.
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.
Understand Requirements
Review the objectives, dataset, and success criteria. Define the best ML approach and project plan.
Data Preparation
Clean, preprocess, and explore the data. Engineer features and prepare training/testing datasets.