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BCA (Distance) to 25LPA | Customer support to Data Analyst at Uber

Join our Live DSA Course https://learnyard.com/courses/dsa In this episode, we dive into the career journey from Amazon to top tech companies like Noon, PhonePe, and Uber. We discuss job switches, salary expectations, and insights from interviews and rejections. Learn about the role of a data analyst, how to crack interviews and tips on building a standout Naukri profile. Tune in for valuable advice on navigating your tech career! Honest talk with Google Recruiter | Job market, Resume, Tier 3 colleges, CGPA    • Honest talk with Google Recruiter | J...   I’m Fraz, an ex-Google engineer, content creator, and the founder of LearnYard. On this channel, I share insights from my journey in tech, entrepreneurship, and beyond. I host engaging podcasts with amazing guests, dive into topics about my personal life, and create content that inspires growth and curiosity. For Collaboration Enquiries: [email protected] Learn for free from LearnYard    / @learnyardyt   www.learnyard.com For Event Invites [email protected] For all the latest announcements, join our telegram channel: https://t.me/mohammadfrazTG Instagram   / frazmohammad   LinkedIn   / frazmohammad   Connect with Vishal   / vishalsahu05   Timeline 00:00 - 01:16 Recap 01:17 - 02:09 Introduction 02:10 - 04:26 How was your college life? 04:27 - 05:11 When did you start coding? 05:12 - 08:33 Tell about first job at Amazon 08:34 - 10:05 Role and salary at Amazon 10:06 - 11:40 How did you switch for a data-analyst role? 11:41 - 12:40 Switch from Amazon 12:41 - 14:02 What all companies you cracked? 14:03 - 15:42 How long was your stay at Noon? 15:43 - 17:13 How did the Noon experience help? 17:14 - 18:47 Why didn’t you join Google? 18:48 - 19:02 Salaries for these roles 19:03 - 20:32 Work experience with PhonePe 20:33 - 22:59 When did you switch from PhonePe? 23:00 - 25:00 How did you crack Uber? 25:01 - 26:32 Tell your rejection experiences 26:33 - 28:05 Interview experience in brief 28:06 - 29:27 How to create a good Naukri profile? 29:28 - 30:59 How to code rejections? 31:00 - 32:08 Advice for viewers 32:09 - 32:29 Conclusion ✨ Hashtags ✨ #career #faangm #fraz #faang #dsa #bca #mca #dtu #coding #programming

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