The intensive use of data is helping to revolutionize the world. From the modern business enterprise to the lifestyle choices of today’s digital citizens, the use of data science helps us improve in every way. In this article, I’m going to introduce you to the best data science projects for a resume that will help you make a good impact on your next data science interview.
What Kind of Projects is Best for a Data Science Resume?
Data science is the use of analytical techniques to obtain and communicate useful and actionable information from raw data. The best data science projects for a resume will be those that show you can help an organization drive increased value. It doesn’t matter if the value of your data science project is represented by:
- Number of lives saved
- Number of dollars withheld
- Or the percentage of income has increased.
So, the best projects for your data science resume will be those that can show that you can help an organization generate an increase in value respectively with the type of business in which it deals.
Hope you now know what exactly a company is looking for by reviewing data science projects in a resume. Based on that understanding, let’s now take a look at some of the best data science projects for resume.
Best Data Science Projects for Resume
While you are looking for a job in the data science field, you will either be a fresher or you must have some experience. So let’s take a look at the list of the best data science projects that you can add to your resume both as a fresher or as an experienced. All the projects below are solved and explained by using the Python programming language.
Netflix Data Analysis:
We all know what Netflix is and how much information you can get by analyzing a business like Netflix. So this will be a good data science project to show you what you can do when so much data is given to you.
Covid-19 Vaccine Sentiment Analysis:
The Covid-19 epidemic has changed the way people live. When scientists were busy finding out about the Covid-19 vaccine, everyone wished it would be successful, but when they found out, many people doubted the accuracy and shared their opinions on social media.
So this can be one of the best CV data science projects where you use social media data and draw a conclusion about people’s feelings about the vaccine.
Cohort Analysis:
In the cohort analysis, we treat the group of subjects who share a common characteristic. The main use of cohort analysis is in companies that are primarily involved in sales and marketing. So it will be a good resume project if you are about to give an interview at such a company that deals with sales and marketing.
Life Expectancy Analysis:
If you’re about to appear in a data science interview at a company that contributes a lot on social media to the economy and healthcare situations like Forbes and other frontline media, they’ll appreciate it if they saw something like a life expectancy analysis in your data science resume.
Human Resource Analysis:
The human resources department contributes a lot to the analysis of the potential of the employees to ensure the success of the organization. Large tech companies have increased the use of data science in their human resources department. So this project will help you to have a good impact if you know HRD well and looking for a career in HRD as a Data Scientist.
Real-Time Face Mask Detection:
The use of a face mask has increased due to the Covid-19 outbreak. Now, indoor places like restaurants and shopping malls are legally required to have rules in place for the use of a face mask. If you appear in such a company that creates computer vision application, this project will help you make a good impact on your data science interview.
Netflix Recommendation System:
The best data science projects for resume will be those where you can show off most of your skills in one project. If you’re about to appear at a company for a data science interview that is planning to create a recommendation system for movies, TV shows, etc., this project is for you.
Named Entity Recognition:
If you’re about to appear in a company that primarily deals with building systems that use natural language processing, this project is one of the best data science projects for your resume. The use of named entity recognition has increased in search engines and other applications used to process text data.
IPL Analysis:
IPL generates a lot of data every year, so analyzing the data provided by such a big event can be one of the best data science projects for your resume. You can draw many patterns from cricket because every year we see new faces in IPL and some record moments can also be highlighted by your project.
Fashion Recommendation System
If you are about to appear in a data science interview at companies like Amazon and Myntra who are working hard to improve their fashion recommendation system to further increase customer engagement, this project will open up a lot of opportunities for you because it is very difficult to get recommendations from something very dynamic.
Conclusion
All the data science projects for resume mentioned above are solved and explained with Python. You can explore more projects like them from here.Â
So these were the best data science projects for a resume that you can modify and use according to your needs. I hope you liked this article on the best data science projects for resume. Feel free to ask your valuable questions in the comments section below.
