Find your weakest round
Complete the readiness check below before beginning random preparation.
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Turn placement preparation into a clear daily system. Choose your target, available time and deadline; the Launchpad will give you a focused starting plan.
Build balanced readiness across aptitude, coding, technical knowledge and interview communication.
Complete the readiness check below before beginning random preparation.
Take the readiness checkSelect the statements you can demonstrate today, then calculate your score to reveal the next focus area.
Select a round to see what the evaluator is looking for and how to prepare.
Your first task is to make your eligibility clear and every important resume claim defensible.
Pick any resume line and explain what you did, why it mattered and how you verified the result.
A placement result depends on more than coding. Use each track to close a specific readiness gap.
Build calculation accuracy, logical thinking, verbal clarity and test speed.
Write correct programs and explain how data, control flow and memory behave.
Convert unfamiliar questions into examples, algorithms, code and test cases.
Choose efficient structures, trace operations and justify complexity.
Understand the systems behind programs instead of memorising interview definitions.
Turn claims into proof through focused projects, clear bullets and confident defence.
Make your reasoning easy to follow before, during and after writing code.
Connect Python, mathematics, data preparation, models and responsible evaluation.
A short deadline needs prioritisation; a longer deadline needs consistency. Choose your timeline.
Use four focused weeks to strengthen foundations, solve timed problems and rehearse interview communication.
Five preparation days, one mock day and one review day.
Readiness check, aptitude basics, programming revision and resume audit.
Coding patterns, essential DSA, DBMS/OS revision and one project story.
Sectional tests, coding sets, technical questions and answer recording.
Full mocks, interview rehearsals, mistake review and company-focused revision.
Do not memorise a perfect paragraph. Build a clear answer from evidence, reasoning and reflection.
How would you choose between an array and a linked list for a given problem?
Think for 30 seconds. State the requirement first, then compare trade-offs.
Recording why you went wrong is more useful than repeatedly solving new questions.
Add the next important mistake you make. Review these rules before every mock test.
A strong candidate can show evidence, explain decisions and reflect on improvement. GitHub is useful when code can be shared, but it is not compulsory: a live demo, project report, screenshots or a clear case study can provide equivalent proof.
The fundamentals remain common, but preparation depth and evidence should match the opportunity.
Prioritise aptitude speed, programming fundamentals, common coding patterns, SQL basics and confident communication.
Prioritise strong DSA, complexity analysis, medium coding problems, core CS depth and detailed project decisions.
Prioritise Python, SQL, statistics, model evaluation, data leakage, explainability and one defensible end-to-end project.
Complete the readiness check, follow one focused study session and record what you learned today.