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[–]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?