I will build fraud detection and credit risk machine learning models
ML and Data Science Expert: Data Wrangling, Analaysis, Vizualisations
About this Gig
Hi!
I'm a data scientist who specialises in finance, specifically fraud detection and credit risk modelling. I love turning data into useful real-world models, aligned to your needs. I work closely with transaction data and fine tune them into financial models.
This Gig is about building you a fraud detection or credit risk model that's accurate, explainable, and ready to use.
I work beyond a notebook and into production.
What I'll Do:
- Understand your exact use case and data, have a deep conversation on what you need.
- Clean and prepare your data to handle class imbalance.
- Build and tune a model suited to your problem.
- Test it thoroughly and explain its insights and decisions.
- Deliver clean, documented code.
I will help you whether you're a startup building your first risk model or a company optimising their existing system.
Let's discuss thoroughly before you order.
Programming language:
Python
•
SQL
•
NoSQL
•
MLflow
Frameworks:
Scikit-learn
•
PyTorch
Tools:
Jupyter Notebook
•
TensorFlow
•
MLflow
•
Azure ML Studio

