Find posts requesting help with retail credit risk management

Context.
I am an independent management consultant. I help retail (consumer and SME) businesses manage credit risk using data. My typical client is an online lender that provides credit via a website and or a mobile app. I can also help other types of businesses that involve credit, like wallet apps and merchant cash advance. I want to promote myself on LinkedIn by writing meaningful comments.
Here are some of the things I can help with:
• What external sources of data can be used to assess credit risk
• What data needs to be collected to assess credit risk
• What data science models can be used to assess credit risk
• How to optimize the use of data to minimize the amount of data required and the associated time and costs
• How data can be used to set credit limit
• How to model credit portfolios
• How to predict credit portfolio CF (cash flow)
• How to manage client LTV (lifetime value) vs risk
• How to manage repeated sales and client retention vs risk
There is a ton of related questions I can help with but it's not that easy to list them all


Task.
Find 50 LinkedIn comment where people seek help/advice regarding credit risk management techniques and data analytics where I could potentially help them by writing a comment.
I don't think it would be possible for me to just provide a complete list of topics. So it's going to be an iterative process, we'll learn together. You'll learn from me what data-driven credit risk management can do, and I'll learn what can be found on LinkedIn from you
So one of the benefits of completing this job is going to be exposure to the credit risk management industry. I'll be happy to share my experience. By the time this project is complete, you'll probably have as much high-level knowledge about retail credit risk management as an industry analyst with one or two years of experience. This is because analysts use most of their time crunching data, but this project concentrates on why they crunch data, the real business challenges and pain points.
At some point, we might want to start using ChatGPT to automate this.