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From 700+ Rejections to Amazon | Real Story of a Small-Town Girl Breaking All Limits 🚀 | Hindi

This is the unbelievable true story of a girl from Ranchi who faced 700+ job rejections, was told her English wasn’t good enough, and yet she cracked jobs at Cognizant, MIQ, Myntra, and finally Amazon — with a 600% salary hike!

She didn’t come from IITs or IIMs. No fancy English. No family backing. Just grit, strategy, and relentless hustle. 💯

🎯 In this video, she reveals:

How she cracked Amazon without a BTech degree

Her cold outreach strategy that actually worked

How to optimize your resume for ATS

Key tools & platforms for data analysts

The mindset shift that made all the difference

Her advice to freshers struggling with rejections

Whether you're from a Tier-2 city, Hindi-medium background, or just feel stuck in your job search — this is a must-watch!

📌 Best suited for: Job seekers, freshers, working professionals, data analysts, and anyone looking for motivation from real-life Indian success stories.

🔍 Keywords: amazon job without btech, job from small town india, data analyst india, resume tips for freshers, ATS friendly resume, motivational job story hindi, career switch india, how to get referrals linkedin, Indian girl Amazon journey


TimeStamps:

00:00 – Intro
01:25 – Background Introduction
02:14 – Her First Interview & Struggles with English
03:32 – First Job at Cognizant & First Time Using a Laptop
05:00 – Promotion at Cognizant
06:19 – Cracking MIQ & Facing 80 Interviews
07:38 – How She Got Placed Through LinkedIn
09:51 – Her Biggest Motivation: Money
10:21 – How to Write Cold Emails & Messages for Referrals
12:20 – How to Make a Resume That Gets You Placed
14:24 – Why She Quit MIQ
15:26 – Cracking Myntra & Insights on Job Culture
17:28 – Why She Quit Myntra & How Brands Are Treated There
20:10 – Cracking Amazon & The Strategy Behind It
25:29 – Sales Hike: Myntra vs Amazon & Work Environment
28:03 – Amazon vs YouTube Income & New Opportunities
29:32 – How She Was Bullied by Cousins
31:52 – Advice for Freshers
33:43 – Her Opinion on AI
36:30 – Final Advice for Aspiring Data Analysts