Interview Preparation Journey My Journey I began my preparation by focusing on Data Structures and Algorithms (DSA) using C++. After covering topics up to stacks and queues, I developed an interest in web development. I built a few web-based projects, which helped me secure an internship. Following that, I shifted my focus back to DSA to prepare thoroughly for technical interviews. Application Experience I first learned about the company through a campus introduction session. After applying, my resume was shortlisted, and I proceeded to the interview rounds. Outcome I wasn't selected because I couldn't solve all the DSA problems effectively in the second round. Preparation Strategy Time Spent: 6 months Topics Covered: C++, Object-Oriented Programming (OOP), Java, Database Management Systems (DBMS), and DSA Preparation Tips For Salescode: Emphasize Java. Expect aptitude questions along with technical ones. DSA is a crucial area to focus on. Application Process Mode: Campus Placement Eligibility: No active backlogs CTC: ₹12.6 LPA Resume Tips Include Java-based projects. Avoid adding any false details. Interview Rounds Round 1: Online Coding Interview Level: Medium Duration: 75 minutes Date: 27th April 2025 Format: 45 MCQs (covering Aptitude, OOP, OS, Java, and DSA) + 2 Coding Problems 1. Alien Dictionary (Hard) Tips: Understand graph-based problems Handle edge cases carefully Process input efficiently 2. Best Time to Buy and Sell Stock (Moderate) Tips: Recognize dynamic programming patterns Strong understanding of arrays and DP required Round 2: Pen-and-Paper Coding Test Level: Easy Duration: 30 minutes Date: 27th April 2025 Format: 2 Easy DSA Problems 1. Print Series Using Recursion Series Example: 3 5 11 21 35 53 53 35 21 11 5 3 Tips: Understand recursion basics Analyze the sequence pattern clearly 2. Find the Single Element Problem: Identify the element that appears only once in an array where all others appear twice Tips: Learn bitwise XOR operations Brush up on bit manipulation techniques

The interview process at Salescode.ai was well-organized and transparent. It began with an online aptitude test, followed by a technical round focusing on data structures and basic problem-solving. The final HR discussion assessed communication skills and cultural fit.