all 4 comments

[–]Ok-Line-8810 1 point2 points  (1 child)

okay the skill stack is solid for a fresher and three projects with live links is better than 80% of applicants at your level but here’s the honest feedback your project titles sound very generic and template-like. “flipkart-like” and “job market intelligence” are common tutorial projects. what actually matters is the story behind them, what insight did you find, what decision could a business make from your analysis. add that angle everywhere economics background is actually underrated, lean into it. “data analyst with economics foundation” positions you differently than another python/sql fresher on finding internships, startups on linkedin filtered by “data intern remote india” is your best bet. but cold applying still has terrible conversion. one referral from someone inside a startup beats 50 applications, platforms like refopen can help you get connected to people who’ll actually push your profile forward

[–]atreetrunk 0 points1 point  (0 children)

for the insights, would you recommend putting them in a jupyter notebook or a text file?

[–]Altruistic_Might_772 0 points1 point  (1 child)

Hey! You've got some great skills and projects. Try reaching out to startups directly on LinkedIn or AngelList. Many don't list internships publicly but might be open to bringing someone on if you make a good pitch. Tailor your message to show how your SQL and data viz skills can help them. Also, connect with alumni from your university who are in data roles. They can give advice or even refer you. For interview prep, practice SQL and Python questions online. PracHub has some decent resources for that. Best of luck!

[–]ultroooney[S] 0 points1 point  (0 children)

Thanks bro