Data Science Project Ideas for 2023

There is a huge competition in the Data Science field, making it hard to mention unique projects on your resume. An interviewer goes through hundreds of projects every day, so it’s essential to mention unique projects on your resume so that your resume can grab more attention. So, if you are looking for some unique Data Science project ideas you can try in 2023, this article is for you. In this article, I will take you through some unique Data Science project ideas you should try in 2023 to boost your resume.

How to Select Data Science Projects for Resume?

People often ask me what kind of projects they should work on to mention in their CVs.

You cannot add all the projects you have worked on so far to your resume. As a fresher, you should mention projects that can show:

1. your ability to work with data
2. your ability to understand the business problem behind the problem statement you are solving in your project
3. and your ability to summarize and end the project with a solution

And as an experienced professional, you should never mention the projects that helped you get your first job a year ago (or maybe years ago). Forget those projects. Now you are experienced, you should mention projects that can show:

1. your understanding of the domain you have already worked
2. your expertise in using various data science tools
3. your expertise in using big data tools
4. your expertise in solving business problems

So I hope you now have understood what kind of projects you should mention in your resume as a fresher and experienced professional. In the section below, I will introduce you to some unique Data Science project ideas for 2023.

Data Science Project Ideas for 2023

Food Delivery Time Prediction

Food Delivery services like Zomato and Swiggy need to show the accurate time it will take to deliver your order to keep transparency with their customers. These companies use Machine Learning algorithms to predict the food delivery time based on how much time the delivery partners took for the same distance in the past.

You can find the dataset, problem statement, and references to work on this Data Science project here.

A/B Testing to Find the Best Marketing Strategy

In A/B testing, we analyze the results of two marketing strategies to choose the best one for future marketing campaigns.

For example, when I started an ad campaign on Instagram to promote my Instagram post for the very first time, my target audience was different from the target audience of my second ad campaign.

After analyzing the results of both ad campaigns, I always preferred the audience of the second ad campaign as it gave better reach and followers than the first one.

You can find the dataset, problem statement, and references to work on this Data Science project here.

Credit Score Classification

Banks and credit card companies calculate your credit score to determine your creditworthiness. It helps banks and credit card companies immediately to issue loans to customers with good creditworthiness.

Today banks and credit card companies use Machine Learning algorithms to classify all the customers in their database based on their credit history.

There are three credit scores that banks and credit card companies use to label their customers:

1. Good
2. Standard
3. Poor

A person with a good credit score will get loans from any bank and financial institution.

You can find the dataset, problem statement, and references to work on this Data Science project here.

Summary

So these are some Data Science project ideas you should work on in 2023 to boost your resume. I hope this article has been helpful to understand what kind of projects you should mention in your resume as a fresher and experienced professional. You can find many more Data Science projects solved and explained using Python here. Feel free to ask valuable questions in the comments section below.