You will get fraud detection and credit scoring ml models in python
Project details
About me
Im a data scientist with Years of experience building creditrisk and fraud-detection models for banks and fintechs. I specialize in Python and industry-standard tools like ScikitLearn, XGBoost and SQL.
What I offer
Data understanding & preprocessing: cleaning, exploratory analysis and handling of missing values
Feature engineering: creation/selection of variables such as credit utilization, payment history and transaction anomalies
Model development: classification algorithms (logistic regression, decision trees, random forests, gradient boosting), anomaly detection algorithms and hyperparameter tuning
Evaluation & reporting: confusion matrix, ROCAUC, precision/recall, risk scoring, visual reports or dashboards
Deliverables: welldocumented Python code, model files, summary report and optional API or dashboard integration
Why choose me?
Domain knowledge in risk management and fraud prevention
Clear communication, quick response and dedication to quality
Competitive pricing with unlimited consultation before ordering
Im a data scientist with Years of experience building creditrisk and fraud-detection models for banks and fintechs. I specialize in Python and industry-standard tools like ScikitLearn, XGBoost and SQL.
What I offer
Data understanding & preprocessing: cleaning, exploratory analysis and handling of missing values
Feature engineering: creation/selection of variables such as credit utilization, payment history and transaction anomalies
Model development: classification algorithms (logistic regression, decision trees, random forests, gradient boosting), anomaly detection algorithms and hyperparameter tuning
Evaluation & reporting: confusion matrix, ROCAUC, precision/recall, risk scoring, visual reports or dashboards
Deliverables: welldocumented Python code, model files, summary report and optional API or dashboard integration
Why choose me?
Domain knowledge in risk management and fraud prevention
Clear communication, quick response and dedication to quality
Competitive pricing with unlimited consultation before ordering
Machine Learning Tools
Keras, MATLAB, NumPy, OpenCV, pandas, Python, PyTorch, SciPy, Stata, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$90
|
Standard
$120
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 3 days | 5 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 - 9:27 am 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.
Data Preprocessing
Data Engineering