I've just entered my fourth year, and companies have already started visiting my college for placements. I wasn't serious about coding or placement preparation earlier, so I'm starting from a weak position and feeling overwhelmed.
My DSA knowledge is very basic. I've started the Striver A2Z sheet and am still working through arrays, with only about 5–7 coding problems solved so far. I also don't have any substantial self-built projects. Most of what I've made involved heavy AI assistance, and I wouldn't be able to explain the implementation confidently in an interview. My CS fundamentals are average at best.
I know I should have started sooner, but I want to use the remaining three to six months as effectively as possible. Is it realistically possible to get placed from this starting point? What should I prioritize among DSA, projects, CS fundamentals, aptitude, and company-specific preparation? Should I continue through a complete DSA sheet or focus on the patterns and topics commonly tested by companies visiting my college? I'd also appreciate advice on building one or two projects that I can genuinely understand and discuss in interviews.
3 Answers
Start with the companies actually visiting your campus. Look at their eligibility rules, test format, previous interview topics, and typical difficulty. Use that information to divide your time: daily coding practice, regular fundamentals and SQL revision, aptitude practice where needed, and steady work on one demonstrable project.
Don’t spend all your time watching roadmaps or chasing advanced topics. Track your progress with timed practice and mock interviews. If you can consistently solve basic and medium problems, explain your project honestly, and answer fundamental questions clearly, you can still improve your chances considerably. A master’s degree should not be treated as an automatic solution; consider it only if it fits your broader goals, not simply as a way to postpone preparation.
It’s possible, but the current entry-level market is competitive, so you need to focus on becoming useful rather than just collecting solved problems. Prioritize core DSA patterns, basic CS subjects, aptitude if your campus tests include it, and one project you can explain from end to end. A smaller, well-understood project is much better than several AI-generated applications you can’t defend.
Also prepare for maintenance work, debugging, and extending existing code. Many junior roles involve reading an unfamiliar codebase, fixing bugs, and adding modest features rather than building an entire product from scratch. Use AI as a tool to learn and speed up your work, not as a substitute for understanding the code.
For the next few months, I’d use a focused plan instead of trying to finish every resource. Spend most of your time on common array, string, hashing, two-pointer, stack, binary search, linked-list, tree, and basic graph patterns. Solve fewer problems but review them until you can explain the approach, complexity, edge cases, and a clean implementation without help.
Alongside that, revise OOP, operating systems, databases, networking, and SQL at an interview level. Build one practical project from a blank repository, such as a small CRUD application with authentication, a database, validation, and a few tests. Rebuild each part yourself and keep notes on the design decisions so you can discuss trade-offs confidently.
That makes sense. I was planning to complete the entire sheet first, but focusing on common patterns and understanding each solution seems more realistic with the time I have.