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Video meeting . 30 mins
Video meeting . 10 mins
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Video meeting . 30 mins
Video meeting . 15 mins
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Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
About me
๐ I currently work as a Senior Analytics Manager at Meesho and bring 11+ years of experience across analytics, product thinking, business problem-solving, experimentation, and stakeholder management.
My journey spans both service-based and high-scale product companies:
๐ข Tata โ ๐ Swiggy โ ๐ฆ Amazon โ ๐ Porter โ ๐ Meesho
Over the years, Iโve worked closely with:
โจ Product teams
โจ Business leaders
โจ Finance teams
โจ Operations
โจ Growth & marketing functions
Iโve also interviewed and mentored candidates across multiple levels โ from freshers to experienced analysts and managers.
๐ก What makes my sessions different:
I donโt teach analytics like a course.
I teach:
โ
How hiring decisions are actually made
โ
How to communicate impact effectively
โ
How to solve ambiguous business problems
โ
How to think like a product/business leader
๐ฏ Areas I help with:
๐ Resume Reviews
๐น What managers actually look for
๐น Why resumes get rejected
๐น Positioning projects effectively
๐ป SQL & Technical Rounds
๐น Practical preparation in the AI era
๐น What still matters beyond ChatGPT
๐น Project storytelling & STAR methodology
๐ง Product & Business Case Studies
(Most candidates struggle here)
๐น Business understanding
๐น Metrics thinking
๐น Product intuition
๐น Structured problem-solving
๐น Asking the right questions
๐งช A/B Experimentation & Analytics Thinking
๐น Designing experiments
๐น Interpreting results
๐น Common mistakes candidates make
๐ Career Growth in Analytics
๐น Transitioning from service to product companies
๐น Growing from analyst to leadership roles
๐น Salary growth strategies ๐ฐ
๐น AI advancements impacting analytics careers ๐ค
๐ Leadership & Managerial Interviews
๐น Stakeholder management
๐น Conflict resolution
๐น Situation-based questions
๐น Values and leadership principles
๐ฏ Who This Is For
๐น Analysts stuck at the same level for 2+ years, wondering whatโs actually holding them back
๐น Freshers or early-career professionals trying to move from service-based companies into product analytics roles
๐น Candidates who keep clearing early rounds but struggle in case studies, product thinking, or behavioural interviews
๐น Analysts who know SQL/tools but still fail to communicate impact effectively
๐น Anyone who wants an honest insider perspective on what interviewers at companies like Amazon, Swiggy, Porter, and Meesho are REALLY looking for
๐ก Why Talk To Me Specifically
Iโm not a coach teaching theory from slides or books.
Iโve spent 11+ years working across high-scale product companies and have personally interviewed 1000+ candidates across analytics roles โ from BA-I to managerial positions.
I know:
โ๏ธ What a weak project walkthrough sounds like
โ๏ธ What separates average analysts from high-growth candidates
โ๏ธ What a strong 20โ70+ LPA profile actually looks like
โ๏ธ The exact moment a candidate loses the interviewer during a case study or behavioural round
Because Iโve been on the other side of the table.
Most candidates donโt fail because they lack hard work.
They fail because:
โ Their thinking is not structured
โ Their projects donโt demonstrate business impact
โ They prepare in outdated ways
โ They donโt understand how hiring decisions are really made
One focused session can save you months of confusion, random preparation, and spray-and-pray job applications.