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$
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I will build credit card fraud detection model streamlit dashboard
Machine Learning Engineer
I am a results-driven Machine Learning Engineer with over 3 years of experience across game development, Android applications, and production ML models. I specialize in building production-ready syste...
About this Gig
I will build a production-ready Credit Card Fraud Detection model with an interactive Streamlit dashboard.
What you will get:
High-recall XGBoost model achieving 0.92 recall on highly imbalanced data
SHAP explainability to identify the most important fraud drivers (V14, V17, etc.)
Complete end-to-end pipeline including data preprocessing, model training, and evaluation
Clean and interactive Streamlit dashboard with live predictions
Docker-ready code with proper documentation and README
Business recommendations for real-world fraud prevention use cases
Tech Stack: Python, XGBoost, SHAP, Pandas, Streamlit, Docker
This gig is ideal for fintech companies, banks, payment processors, or anyone working with transaction data who needs a reliable fraud detection solution.
Why work with me:
Strong focus on production-ready and well-documented solutions
Experience building deployable ML systems with clear metrics
Clean code and professional delivery
I will deliver:
- Fully functional model + dashboard
- Source code with documentation
- Clear instructions to run the project
Please message me with your requirements before placing an order. Looking forward to working with you
Programming language:
Python
•
SQL
•
Colab
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Java
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
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Other
APIs:
Other
Tools:
Jupyter Notebook
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TensorFlow
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Excel
•
MLflow
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Colab
•
RStudio
•
Other
My Portfolio
FAQ
What will I receive after placing the order?
You will receive a fully functional Credit Card Fraud Detection model with an interactive Streamlit dashboard, complete source code, documentation, and instructions to run the project locally or on Streamlit Cloud.
Do you provide the dataset?
No, you need to provide your own transaction dataset. If you don’t have one, I can guide you on how to structure the data or suggest public datasets for testing.
How many revisions do I get?
Basic package includes 1 revision, Standard includes 2 revisions, and Premium includes 3 revisions. Additional revisions can be purchased as an extra.
Can you deploy the model on the cloud?
Yes, cloud deployment (Docker + Streamlit Cloud) is included in the Premium package. It can also be added as an extra service in Basic and Standard packages.
What is the delivery time?
Delivery time depends on the package you choose. Basic: 7 days, Standard: 10 days, Premium: 14 days. Extra fast delivery is available for an additional charge.
Do you offer SHAP explainability?
Yes, SHAP analysis is included in Standard and Premium packages to show which features are most important for fraud prediction.
Is English Necessary for communication?
As long as the core requirements are met, any language is fine.
