Analytics · Careers · Mentoring

Real guidance for your analytics career — from someone in the field.

I'm an analytics professional with 6+ years of hands-on experience in data, strategy, and product analytics. I offer 1:1 sessions for anyone in the analytics domain — whether you're just starting out, navigating a switch, or preparing for your next interview.

Background

6+ years in Analytics — working across data analysis, strategy, and product analytics with tools like SQL, Redshift, Spark, and QuickSight at scale.

Who I work with

Anyone in the analytics domain — freshers, mid-level analysts, career switchers, and experienced professionals looking for clarity, direction, or interview prep.

6+
Years in Analytics
3
Session Types
₹299
Starting price
Who this is for

Anyone working in or breaking into analytics.

🌱

Just Starting Out

You're a fresher or early-career analyst trying to understand the domain, pick the right track, or get your first analytics role. You need honest guidance on where to start.

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Making a Switch

You're moving between analytics tracks — DA to DS, service company to product, or into analytics from a non-data background. You need a clear path, not generic advice.

🎯

Preparing for Interviews

You have an interview coming up and want real, domain-specific prep — SQL, case questions, metrics thinking — from someone who understands what analytics roles actually test for.

Three ways to work together.

Each session has a clear agenda, defined prep, and a specific outcome. You'll leave knowing exactly what to do next.

⏱ 15 Minutes
Quick Clarity Call

You have one specific question and need a direct, experienced answer — not a generic response. This is a focused, no-fluff call for a single problem: a role decision, a resume line, a company question, or a salary dilemma.

₹299
per session

Come Prepared With

  • Your one specific question written out in advance
  • Your current role and total YOE
  • The role/company you're asking about (if applicable)
  • Any context I need to give a useful answer (not a long story — 3 sentences max)

Session Flow

  1. 0–2 min: You share context in 2–3 sentences
  2. 2–10 min: I give you my direct answer and reasoning
  3. 10–13 min: 1–2 concrete action steps you can take today
  4. 13–15 min: Quick Q&A or clarification

Good Questions for This

  • Should I apply to this role given my background?
  • Is this resume line strong or weak?
  • How do I explain a lateral move or gap?
  • DA vs DS — which track suits me better?
  • What's a fair salary ask for this role at this company?
  • Is my LinkedIn headline working or not?
⏱ 60 Minutes
Analytics Interview Preparation

A full mock interview session covering the types of questions you'll actually face in analytics interviews at product companies, consulting firms, and GCCs — not generic advice, but domain-specific prep based on what companies like Flipkart, Razorpay, McKinsey, and Fractal actually test for.

₹1,499
per session

Come Prepared With

  • The specific company and role you're interviewing for
  • Interview round details (if known — e.g. case round, SQL round, stakeholder round)
  • Your resume (sent in advance)
  • 2–3 projects from your experience you want to use as examples
  • Any areas where you've been rejected before or feel weak

Session Flow

  1. 0–5 min: Brief on company, role, round type
  2. 5–20 min: Live mock — SQL / case / product analytics questions specific to your target role
  3. 20–35 min: Behavioural and stakeholder questions — how to structure STAR answers for analytics roles
  4. 35–50 min: Feedback on your answers — what to add, what to cut, how to structure better
  5. 50–57 min: Domain deep-dive — metrics frameworks, A/B testing basics, business case structure
  6. 57–60 min: 2–3 things to practise before the actual interview

What We Cover

  • SQL problem solving — window functions, aggregations, edge cases
  • Product sense and metrics definition questions
  • A/B testing and experimentation reasoning
  • Business case analysis and framing
  • Behavioural questions framed for analytics roles
  • Stakeholder communication scenarios
  • How to present your past work as business impact
What We Cover

Analytics domain topics across all sessions.

These are areas where I can give you practical, experience-backed guidance — applicable whether you're a fresher, mid-level, or experienced analyst.

🏢 Career Strategy

  • Understanding the analytics tracks — DA, DS, BA, Product Analytics, Analytics Manager
  • Product company vs GCC vs consulting — what each values and what they pay
  • How to position your experience for the role you want next
  • Remote analytics roles — what to look for, how to negotiate
  • Building a structured job search plan that actually moves
  • When and how to target different tiers of companies

📝 Resume & Positioning

  • How to quantify analytics impact without made-up numbers
  • Writing bullet points that show business outcomes, not just tasks
  • ATS optimisation for analytics-specific job descriptions
  • How to frame your tools and tech stack for different JDs
  • LinkedIn headline and About section strategy for analytics professionals
  • How seniority is signalled in a resume and where most people miss it

🎯 Interview & Technical

  • SQL: window functions, CTEs, optimisation, edge cases commonly tested
  • Metrics design: defining the right KPI for a given business problem
  • A/B testing: hypothesis setup, sample sizing, interpreting results
  • Business case framing: structuring an open-ended analytics problem
  • Stakeholder communication: presenting data to non-technical audiences
  • Python and statistics basics tested at DS-track roles

🔄 Transitions & Growth

  • DA to Data Scientist / ML — what you actually need to bridge the gap
  • Analytics to Product Management — when it makes sense and how to do it
  • Analytics to consulting — what firms look for and how to prepare
  • Service company to product company — what to build, what to show
  • Fresher to first analytics job — how to build credibility with no experience
  • International analytics roles — how to think about and position for them
How It Works

Three simple steps to book your session.

📅

Step 1 — Pick Your Slot

Click "Book Now" on any session. Choose a weekend date and a morning time slot (10am–2pm IST) that works for you.

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Step 2 — Pay via GPay

Scan the QR code or use the UPI ID shown. Send the exact session amount and screenshot your payment confirmation.

Google Pay · PhonePe · Paytm · Any UPI app

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Step 3 — Confirm on LinkedIn

Drop a message on LinkedIn with your payment screenshot and selected slot. You'll get a Google Meet link back within a few hours.

Message on LinkedIn