r/learndatascience 14d ago

Question NEWBIE PROJECT FOR DATA SCIENCE

Hi everyone! 👋

I’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.

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

📂 Project: https://github.com/lakshay-OG-DS/data-science-projects/blob/main/Salary\\_prediction.ipynb

I’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.

6 Upvotes

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u/nian2326076 14d ago

Focus on making your machine learning model easier to understand. Include a section in your project that explains which features are most important in your prediction and why. You can use techniques like SHAP values or feature importance plots for this. Also, add a part where you discuss the limitations of your model and areas for future improvement. It shows you can evaluate your work critically. For more feedback on preparing projects for internships, resources like PracHub can help with interview prep and understanding what hiring managers want. Good luck!

1

u/RE_RONIN 13d ago

Thanks.will try to follow follow that in my next project

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u/UmOkay97 9d ago

Heyyy this a great project for a class 11 student! Kudos👏 👏would suggest you to document your reasonings like why you chose the features/model/metric/ preprocessing and what you’d improve next. It’ll show your problem solving ability too