Over the years, the use of data science has increased in finance for several financial analysis tasks that can help increase an organization’s profits. If you are looking for data science projects on finance to learn how to use data science in financial analysis, this article is for you. In this article, I’m going to walk you through some of the best data science projects on finance that you should try.
Data Science Projects on Finance
A financial institution needs a data scientist in all aspects of financial analysis, such as the detection of fraudulent activity, financial risk analysis, and many other tasks that can improve the customer’s user experience of a financial institution. So here are some of the best data science projects on finance you should try.
Profit Prediction Model:
The management should always set a goal that can be achieved, because if the goal seems unattainable, employees may not perform to their potential. This is also happening with a company’s target profit. A business should always aim for a profit that can be made with the given resources. This is where a financial data scientist can come in handy for a business. You can find this data science project on finance solved and explained with Python from here.
Bankruptcy Prediction Model:
Bankruptcy is a state of insolvency when a business or legal person is unable to repay debts to creditors. If you are someone who is learning data science after coming from a financial background, this type of project should be on your resume. In this task, you need to train a machine learning model to predict whether a business will go bankrupt or not. You can find this data science project on finance solved and explained with Python from here.
Cryptocurrency Price Prediction:
As a Financial Data Specialist, you also have to work on a project on a hot topic in the financial field. Currently, cryptocurrencies are all the rage and people are investing heavily in them. Bitcoin was the focus of attention for various financial analysts some time ago, but now dogecoin is. So, you can work on a project to predict future dogecoin prices. You can find this data science project on finance solved and explained with Python from here.
Summary
A financial institution needs a data scientist in all aspects of financial analysis, such as the detection of fraudulent activity, financial risk analysis, and many other tasks that can improve the customer’s user experience of a financial institution. I hope you liked this article on some of the best data science projects on finance you should try. Feel free to ask your valuable questions in the comments section below.
