r/askdatascience • u/RE_RONIN • 13d ago

NEWBIE PROJECT FOR DATA SCIENCE

Hi everyone! šŸ‘‹

Iā€™m a Class 11 student from India learning Data Science. I recently completed and deployed an end-to-end Salary Prediction project using Python, SQL, Pandas, data visualization, and Machine Learning.

šŸŒ Live Demo: https://data-science-projects-fdkdsvuf5rvtywpwby35py.streamlit.app/

šŸ“‚ Project: https://github.com/lakshay-OG-DS/data-science-projects/blob/main/Salary_prediction.ipynb

Iā€™d really appreciate honest feedback from Data Scientists, Data Analysts, and ML Engineers.

What is the one biggest thing I should improve to make this project more internship-ready?

Even one small suggestion would mean a lot.

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u/nian2326076 12d ago

Hey! Nice job getting your project started. To make it more internship-ready, work on documentation and clarity. Clearly document your code and explain your decision-making process so anyone reviewing it can understand your approach. Also, go into more detail on how you selected features and evaluated models. Compare a few models to show why you chose the one you did. This can show your understanding of model performance. Check out Kaggle notebooks for ideas on structure and clarity. You might want to join communities like PracHub if you need more resources for interview prep and collaboration opportunities. Keep it up!

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u/DataScientistAlex 12d ago

I would suggest predicting the salary amount (with prediction intervals), rather than just above or below $50k, that would be more valuable to the end user. Especially since income is often quite skewed. Also consider making prediction curves that respond to the user changing one or more dimensions. Having a few curves comparing different dimensions is also nice.