ML model for customer purchases forecast and fraud prediction

I am looking for a freelancer to help me with building a machine learning model that can forecast customer purchases and detect fraud. The ideal candidate should have experience in unsupervised learning and clustering. The project requires the following skills and experience:

- Strong background in data science and machine learning
- Experience in building unsupervised learning models
- Familiarity with clustering techniques for fraud detection
- Proficiency in Python or R programming languages
- Experience working with large datasets and data preprocessing
- Knowledge of data visualization and reporting tools

The purchase data being collected includes:
- order/transaction total amount
- order/transaction date
- products details ( order code, product code, sold quantity, measure unit, unit price, category, subcategory )
- customer information ( registration date, province, state, insured amount )
- payments date ( it differs from transaction date )

We prefer an unsupervised learning approach to build the model and detect fraud using clustering techniques. The specific fraud detection method we have in mind is clustering.