Preparing for Product Based Companies(especially the high paying ones) can be quite challenging if you don't have an idea of what to expect. In this presentation given in the Student Mentor Programme at RMK College of Engineering and Technology, I went through some of my experience and some tips for preparing for product based companies.
The Impact of Socioeconomic Status on Education.pdf
How to Prepare for Product Based Companies?
1. How to Prepare for Product
Based Companies?
Joel Kingsley
Department of CSE
Selected in Zilker Technology
2. About Me
Selected in the first company that came for placements.
Therefore not many interview experiences.
Prior to placements, I did an internship in Hasura through
the NPTEL IMAD course.
Uptil the date of the interview, I had completed 4 projects
in college.
4. Zilker Technology Interview Experience
Round 2: (Technical interview)
20 minutes per candidate on average
Questions about:
● Area of interest
● The project you’re most proud of
● Technical questions
30 Appeared - 8 Selected
5. Zilker Technology Interview Experience
Round 3: (Group HR Interview)
6 HRs, 1 Candidate (25 minutes each)
Questions about:
● GirdThySword Android App Project
● Work using Python
● SQL Query for a Database scenario
● Life Mission
8 Appeared - 2 Selected
6. Corporate Contests
2 students were selected through HackWithInfy for the post
Systems Engineer Specialist with 5 Lakhs pa salary.
Round 1: 3 Moderate Programs in HackerRank
Round 2: 3 Hard Programs in HackerRank
Post 1: Full Stack Developer (8 Lakhs pa)
Post 2: Systems Engineer Specialist (5 Lakhs pa)
8. Marketing: Most Important Skill
In an interview, you’re essentially making a sale of
yourself.
Know your strengths and your weaknesses
Create an identity (Both in real life and online)
● GitHub/Open source projects
● Blog/Website
Important: Know what company you’re interviewing for
9. Product Based Companies: Overview
Company Name Salary First Round Next Levels
CodingMart 5.04 JavaScript, JQuery Angular/React
Zoho 4.8 - 6.6 C, Aptitude Algorithms, Pattern,
RegEx, OOPs
Amazon 6 - 10 Data Structures Algorithms, OOPs
PayPal 10 Coding Algorithms, OOPs
Zilker (Premium
Service Based)
6.6 Coding, Aptitude Algorithms, Project,
SQL
Multicore 5.00 C,C++, Aptitude Data Structures,
Algorithms, OOPs
10. Product Based Companies: What they Expect?
Data Structures and Algorithms (LinkedList, HashMap, Tree,
OOPs, Java, RegEx, Pattern matching)
Time complexity and Optimization (Bubble Sort vs Merge Sort)
Coding Standards (Eg. CamelCase vs _Underscore)
Internship Experience (Optional but beneficial)
Projects worked on