🚀 Mock Interview Mastery for Product-Based Roles 🎯 with Durgesh Yadav

Mock Interview Plan 🎯

1️⃣ Round 1: SQL & Database Concepts 🛢️

✅ Query Writing: Complex Joins, Aggregations, Window Functions

✅ Optimization: Indexing, Query Performance Tuning

✅ Case Study: Data Cleaning, Deduplication Scenarios

✅ Real-World Problem: Write SQL to analyze user retention

2️⃣ Round 2: Python & Data Structures 🐍

✅ Coding Challenge: List, Dict, Set Operations

✅ Time Complexity: Optimize Code for Efficiency

✅ Data Processing: Pandas/Numpy for Analytics

✅ Scenario-Based Question: Handling Large Datasets

3️⃣ Round 3: Business Case & Analytics 📊

✅ Product Metrics: DAU, MAU, Retention, Churn

✅ A/B Testing: Hypothesis Testing & Significance

✅ Scenario Question: Improve Conversion Rate for an E-commerce Platform

✅ Visualization Tools: Power BI, Tableau, Google Data Studio

4️⃣ Round 4: Problem Solving & System Design 🏗️

✅ ETL Pipelines: Data Flow & Optimization

✅ Scalability: Handling High Volume Transactions

✅ API Integration: How to Design a Reporting System

✅ Case Study: Build a Data Warehouse for a FinTech Company

5️⃣ Round 5: Behavioral & Leadership Round 🎤

✅ STAR Framework: Situation, Task, Action, Result

✅ Cross-Team Collaboration: Handling Stakeholders

✅ Decision-Making: Prioritization of Business Problems

✅ Leadership: How You Drive Data-Driven Decisions

🔹 Bonus Tips:

💡 Practice DSA Daily – SQL + Python + Case Studies 🚀

💡 Know the Company’s Data Stack – Be Prepared 🔥

💡 Mock Interviews – Simulate Real-Life Scenarios 🎭

💡 Explain Thought Process Clearly – Clarity Wins! 🎯

🔥 Ready for the challenge? Let’s ace it! 💪

Would you like to dive into a specific round for practice? 🚀