Loan Loss Forecasting Algorithm with Python (LSTM Model will be preferable) -- 2
Budget: ₹1,500 – ₹12,500 INR
I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data.
Key Requirements:
- Past data includes monthly default rates till a specific time period.
- The time period for which the default rates are available will vary.
- There will be multiple customer, taken loan for a different time period at different months. Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past.
Ideal Skills and Experience:
- Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy)
- Strong understanding of ML Model especially LSTM will be preferrable.
Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to use the model.
Key Requirements:
- Past data includes monthly default rates till a specific time period.
- The time period for which the default rates are available will vary.
- There will be multiple customer, taken loan for a different time period at different months. Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past.
Ideal Skills and Experience:
- Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy)
- Strong understanding of ML Model especially LSTM will be preferrable.
Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to use the model.