You will get balanced synthetic datasets to fix bias and augmentation for ai models/ml
Project details
I'll generate 100% custom synthetic datasets using 2025's top AI tools, no real data, no PII, fully GDPR/CCPA-compliant. Ideal for startups, AI researchers, Kaggle competitors, and ML teams who need realistic, privacy-safe training data fast.
Data Types:
Tabular: Fraud detection, healthcare, CRM
Time-Series: IoT sensors, finance, energy
NLP/Text: Chatbot intents, product reviews, clinical notes
Computer Vision: Image metadata + COCO/YOLO bounding boxes for pre-training
You Get: Clean CSV/JSON/Parquet files, full schema.
Ethical AI: All processing done locally, no cloud, no data leaks.
ML-Ready: Bias-corrected, class-balanced, scalable, and ready for model training.
Built with Python, SDV, Gretel.ai, Hugging Face, OpenCV, and Fairlearn for maximum realism and fairness.
Trusted by AI teams in the USA, UK, EU, Canada & India.
100% satisfaction guaranteed, message me with your use case!
Data Types:
Tabular: Fraud detection, healthcare, CRM
Time-Series: IoT sensors, finance, energy
NLP/Text: Chatbot intents, product reviews, clinical notes
Computer Vision: Image metadata + COCO/YOLO bounding boxes for pre-training
You Get: Clean CSV/JSON/Parquet files, full schema.
Ethical AI: All processing done locally, no cloud, no data leaks.
ML-Ready: Bias-corrected, class-balanced, scalable, and ready for model training.
Built with Python, SDV, Gretel.ai, Hugging Face, OpenCV, and Fairlearn for maximum realism and fairness.
Trusted by AI teams in the USA, UK, EU, Canada & India.
100% satisfaction guaranteed, message me with your use case!
Machine Learning Tools
MATLAB, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, Stata, TensorFlowWhat's included
| Service Tiers |
Starter
$90
|
Standard
$150
|
Advanced
$190
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Muhammad
Senior AI Engineer | ML Architect for Fintech & SaaS | Cyber AI
Lahore, Pakistan - 11:12 pm local time
I am a Machine Learning Engineer and Technical Partner for Fintech and SaaS founders. I specialize in bridging the gap between complex AI architecture and real-world business ROI. Whether you are navigating EU AI Act compliance, building a high-frequency fraud detection system, or automating SaaS supply chains, I deliver secure, scalable Python solutions.
Why Me?
I don't just "write code." I backtrack to ensure your logic is sound, scale the architecture for growth, and ensure your ML pipelines are secure and revenue-driven. With a proven track record of delivering high-stakes AI solutions for international clients, I focus on:
Core Expertise:
- Fintech & Finance: Robust Credit Scoring, Loan Approval logic, and Real-time Fraud Detection.
- SaaS & Business Logic: AI-driven Inventory Management and Supply Chain Optimization.
- AI Governance & Ethics: Auditing models for EU AI Act compliance, bias mitigation, and transparency.
- Advanced Data Engineering: Synthetic data generation for privacy-compliant training and imbalanced dataset handling.
Technical Stack
Core: Python (Scikit-learn, XGBoost, CatBoost, Pandas, NumPy).
Generative AI: LLM integration, LangChain, RAG frameworks.
Deep Learning: PyTorch, TensorFlow, Keras.
Deployment: Docker, Flask/FastAPI, Cloud Integration.
Ready to turn your data into a competitive advantage? Contact now to discuss your project. I’m happy to hop on a quick discovery call to see how we can optimize your architecture.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding the need of synthetic Data
Optimizing for Model training