Top 5 Data Science Projects to Boost Your Resume Instantly

These data science projects can add great value to your resume

Data has been a great source of information these days that is exponentially growing day by day. Where do you think this data comes from? This comes from various sources such as sensors, posts on social media, e-commerce websites and many more to name. When this raw data is processed, it shapes into valuable insights that can benefit companies and researchers. And this conversion of data is done by data scientists. For an aspiring data scientist, a project in the resume can make a huge difference in getting hired immediately. Here are the top 5 data science projects to boost your resume instantly.

1 Sentiment Analysis

Sentiment analysis refers to analyzing words and determining the tone it is classified into two types one being Binary for analyzing happy and sad words and the other being Multiple determining happy, sad, angry, and other emotions. One can use general-purpose lexicons that include Loughran, AFINN, and Bing and build a word cloud to display results.  

2 Fake News detection

Fake news spreads easily and if it is concerning political parties it can spread with even greater speed. When fake news detection is added to your data science project this can really boost your resume as fake news detection is much needed in the world of fake news everywhere. You can execute this project in Jupyter Labs.  

3 Speech Emotion Recognition

Speech Emotion recognition is a data science project that uses Librosa to carry out speech recognition. It identifies and analyzes human emotions from the tone of the speech.  Python can be used for this project.  

4 Parkinson’s Disease Detection

Data science has been used for various healthcare programs, one being to predict diseases at the early stages. Parkinson’s disease is a progressive and neurodegenerative disorder in humans that can affect the movements of the person. You can use Python for detecting Parkinson’s disease.  

5 Uber Data Analysis

Uber data analysis is a visualization project in data science that uses R language. It analyses pre-defined parameters such as trips made by the driver hourly, days, monthly, and year wise. At the time of growing demand for data science, these data science projects can add great value to your resumes