Interview guide
DSA rounds test problem decomposition under time pressure — most companies draw from a predictable pattern set (two pointers, sliding window, trees, graphs, DP), so preparation is pattern recognition, not memorizing 500 problems.
Arrays and strings: two pointers, sliding window, prefix sums
Hash maps and sets for O(1) lookup transformations
Trees and graphs: BFS/DFS, traversals, topological sort
Dynamic programming: 1D/2D state, memoization vs tabulation
Heaps and sorting: top-K problems, merge patterns
Complexity analysis: justifying time/space trade-offs aloud
Practice narrating while solving — interviewers score your reasoning path, edge-case handling, and complexity discussion as much as the final code. A silent perfect solution often scores worse than a communicated near-perfect one.
DSA rounds test problem decomposition under time pressure — most companies draw from a predictable pattern set (two pointers, sliding window, trees, graphs, DP), so preparation is pattern recognition, not memorizing 500 problems.
Practice narrating while solving — interviewers score your reasoning path, edge-case handling, and complexity discussion as much as the final code. A silent perfect solution often scores worse than a communicated near-perfect one.
Directly — interviewers build questions from your resume's claims, so every skill and achievement listed becomes fair game. A tailored, honest resume steers the interview toward your strongest material; an inflated one hands the interviewer traps you set for yourself.
Interviewers build their questions from what your resume claims. Tailor it to the role honestly first — free ATS score, missing keywords, and a recruiter-ready rewrite.