Best 6 Data Science Projects To Get Hired In 2023

Data science is one of the lucrative careers offering a high-paying salary and promising growth in the future. It is the dream of many data science aspirants to bag a position in top MNCs with a high package. Data science projects play a significant role in portraying your data science skills.

Most people often wonder about what data science project ideas to include in their resumes. To make yourself stand out from the crowd you should choose innovative data science projects that improve your problem-solving skills in real-world scenarios.

In this blog, we will discuss the best data science projects for a resume that will surely help you to accomplish your dream job.

6 Data Science Projects You Should Know As a Beginner

Climate Change Models for Agriculture & Food Supply

Global warming has a major impact on agriculture and food supplies across the world. We are witnessing extreme heat waves dangerous for human life.

The research and policies tackling climate change are not sufficient, working on data science models that aid in estimating the impact of climate change on crop growth and food transportation will help in resolving global food production issues.

This can be done by monitoring geographical temperature patterns, rainfall data, and flood estimation. Data visualization tools that can be used for this project are PowerBI, Tableau, and Quilkveiw.

A project on Sentiment Analysis

This is an amazing project that uses Natural Language Processing(NLP) to identify the underlying tone of the data in three categories: positive, negative, and neutral.

Businesses employ sentiment analysis to determine the opinion of customers about their products or service. This is very helpful in analyzing customer behavior and their notion towards specific products or brands.

For this project you require skills in NLP, text analysis, and computational linguistics.

Fake News Detection

In the world of the internet, it is quite challenging to spot fake and real information. Fake news can spread like wildfire creating a lot of chaos and damage around the world. Fake news can also result in frauds and data theft.

You can work on this project using Python. It involves two classifiers to detect real or fake news: TfidfVectorizer and Passive Agressive Classifier.

Movie Recommendation System

Recommendation systems can suggest movies based on viewer’s taste and watching history is an amazing idea and many OTT platforms have employed this to target their potential users.

A movie recommender personalizes an individual’s content based on their browser history, and content watched by users who share the same demographics and psychographics.

You can build a movie recommendation system using R and MovieLens dataset.

Handwritten Digit Recognition

This data science project employs deep learning techniques. The project is developed to identify and interpret patterns of handwritten characters to predict accurately. This is very helpful in Finance & Banking sectors reducing the manual burden to recognize digit characters.

In this project, you will work with tools such as Convolution Neural Networks and Python.

Customer Segmentation

Customers are invaluable assets to companies. Dividing customers into different categories makes it easier to achieve business goals. Customers are divided based on demographics, psychographics, and shopping behaviour.

Companies employ specific consumer strategies to meet the demands of different customer segments. Additionally companies can identify income and expenditure of their customers. Customer segmentation is a must before running online marketing campaigns.

Final Thoughts

All the above-discussed projects can prove to be very beneficial as top data science projects for beginners to work on. Your resume must highlight your niche in different data science projects. The practical applications of data science are numerous and you must think out of the box to get innovative data science project ideas.

If you are interested in pursuing a data science career, you should check out Microsoft and IBM certified Data Science and AI Program for in depth understanding and better industry exposure.