🩺 DSA Doctor • dsadoctor.com
🎯 The Official Platform for DSA Doctor (dsadoctor.com) — Company-Wise LeetCode Interview Preparation Vault & Diagnostic Engine
🌐 dsadoctor.com • 🧠 DSA Logic Playbook • 💡 Philosophy • 🗺️ Diagnostic Flow • 🏢 Companies • 📑 Schema • 📂 Pages & Tools • ⏱️ Sprints • ❓ FAQ & SEO • 👨💻 Founder
Welcome to DSA Doctor (also known as DSADoctor, DSA-Doctor, or dsadoctor.com) — the premier data-driven coding interview intelligence platform.
Diagnose interview patterns. Practice with surgical precision. Secure your dream software engineering offer.
Important
Grinding 1,000+ random LeetCode problems does NOT guarantee an interview offer.
Blindly solving problems leads to cognitive burnout, low retention, and failure when interviewers present slight variations. Every tech company has an algorithmic signature—a core set of data structures, problem difficulty bands, and pattern archetypes they repeatedly test during Online Assessments (OAs) and technical rounds.
DSA Doctor (DSADoctor / dsa-doctor), hosted officially at dsadoctor.com, provides a data-driven diagnostic approach: filter real LeetCode questions by Target Company, Recency (30 Days to All-Time), and Relative Frequency %, backed by pattern recognition tags and revision priority markers.
Tip
"Most engineers get stuck in DSA not because they don't know programming syntax, but because they don't have a structured mental model to extract logic from unseen problem descriptions."
— Prem Kumar, Founder of DSA Doctor
To permanently solve this hurdle, DSA Doctor has launched the DSA Logic Building Playbook, available live directly at:
👉 dsadoctor.com/dsa-logic.html (Also accessible via the GitHub Repository).
This playbook breaks down problem-solving into a repeatable, scientific framework equipped with interactive simulators, pattern matching engines, and multi-language production code.
| Module | Core Capability | Candidate Transformation |
|---|---|---|
| 🪜 7-Step Universal Blueprint | Scientific 7-stage thought pipeline | Eliminates blank-screen anxiety; guarantees progress on unseen problems |
| 🔬 Live Algorithm Dry-Run Visualizer | Interactive paper trace simulator for Two Pointers, Sliding Window & Kadane's | Teaches how manual pointer movements eliminate redundant search iterations |
| 🧭 DSA Pattern Finder Wizard | 3-step instant diagnostic matcher (Input Type ➔ Goal ➔ Constraints) | Pinpoints the exact algorithm and target time complexity in under 10 seconds |
| ⏱️ Big-O Complexity Budget Radar | Real-time threshold calculator mapping constraint |
Stops candidates from writing code that inevitably fails with TLE (Time Limit Exceeded) |
| 🔑 Keyword-to-Pattern Cheat Sheet | Instant keyword trigger lookup with interactive search & filters | Maps words like "contiguous subarray" ➔ Sliding Window, "monotonic" ➔ Binary Search |
| 🧱 10 Production Multi-Language Templates | Production-ready boilerplate in Java, C++, and Python | Persistent language switching with 1-click clipboard copy |
| 💡 8 Deep-Dive Worked Examples | Test case to optimal code walkthroughs with waste analysis | Demonstrates how brute force |
| 🆘 Emergency Protocol & 9-Point Checklist | What to do when stuck + edge case validation with celebratory confetti | Ensures null pointers, integer overflows, and off-by-one errors are caught before submitting |
Practice Step 3 of the blueprint ("Solve on Paper First") with our dynamic simulator:
-
Two Pointers Trace: Visualizes
leftandrightpointer convergence on sorted arrays, showing real-time boundary shrinkage whensum > target. -
Sliding Window Trace: Dynamic window boundaries tracking contiguous elements, showing how elements are added and evicted in
$O(1)$ amortized time. - Kadane's Algorithm Simulation: Step-by-step visual tracking of running sum resets vs. global maximum subarray updates.
- Full Playback Controls: Step forward, step backward, auto-play animation, and instant reset.
Never wonder "Which data structure should I use?" again:
- Input Type: Array/String, Sorted Array, 2D Grid/Matrix, Binary Tree, Graph, or Data Stream.
- Target Condition: Contiguous Subarray, Pair/Triplet Sum, Monotonic Min/Max, Next Greater Element, Shortest Path, Overlapping Subproblems, or Combinations.
-
Constraint Size (
$N$ ):$N \le 20$ (Backtracking),$N \le 5,000$ (DP/Quadratic),$N \le 10^5$ (Linearithmic),$N \ge 10^9$ (Logarithmic Binary Search).
- Output: Instant pattern verdict, intuition rationale, optimal time/space complexity, and direct links to classic LeetCode benchmark problems.
Every core pattern includes battle-tested, syntax-highlighted templates in:
- ☕ Java 17 (Idiomatic Collections,
HashMap,PriorityQueue,StringBuilder) - ⚡ C++ 20 (Modern STL,
std::vector,std::unordered_map,std::priority_queue) - 🐍 Python 3 (Clean list comprehensions,
collections.defaultdict,heapq,deque)
👉 Experience the Playbook Live: dsadoctor.com/dsa-logic.html
Follow this proven tactical pipeline to prepare systematically for any upcoming assessment or technical interview:
flowchart TD
classDef input fill:#0a192f,stroke:#00f5ff,stroke-width:2px,color:#00f5ff;
classDef filter fill:#0d2040,stroke:#2563eb,stroke-width:2px,color:#7ef9ff;
classDef strategy fill:#1f1338,stroke:#a855f7,stroke-width:2px,color:#e9d5ff;
classDef practice fill:#064e3b,stroke:#10b981,stroke-width:2px,color:#a7f3d0;
classDef outcome fill:#1e293b,stroke:#00FF00,stroke-width:2px,color:#4ade80;
A["🎯 Step 1: Select Target Company<br/>(e.g., Google, Amazon, Uber, Flipkart)"]:::input --> B{"🕒 Step 2: Select Timeline Horizon"}:::filter
B -->|Interview in < 2 Weeks| C["⚡ thirty-days.csv<br/>(Urgent OA & Onsite Trends)"]:::filter
B -->|Interview in 1 - 2 Months| D["🔥 three-months.csv / six-months.csv<br/>(High-Frequency Core Pool)"]:::filter
B -->|Foundational Mastery| E["📚 all.csv<br/>(Complete Historical Problem Bank)"]:::filter
C --> F["📊 Step 3: Sort by Frequency % & Revision Priority"]:::strategy
D --> F
E --> F
F --> G["🧩 Step 4: Group by Topic Tags & Patterns<br/>(Sliding Window, Monotonic Stack, BFS/DFS, DP)"]:::strategy
G --> H["🔁 Step 5: Execute 1-3-7-14 Spaced Repetition"]:::practice
H --> I["🏆 Step 6: Clear OA & Ace Technical Interviews!"]:::outcome
Jump straight into your target company's curated question bank. Below is a categorized directory of premier hiring companies available in this repository:
Amazon • Google • Microsoft • Meta • Apple • Netflix
Uber • Airbnb • Stripe • Atlassian • Adobe • Salesforce • LinkedIn • Spotify • TikTok • PayPal
Citadel • Two Sigma • Goldman Sachs • Morgan Stanley • DE Shaw • Bloomberg • Tower Research
Flipkart • Swiggy • Zomato • Razorpay • PhonePe • Paytm • Zepto • Walmart Labs • Intuit
NVIDIA • Snowflake • Datadog • Palantir • Cisco • Oracle • ServiceNow • VMware • Qualcomm • Intel
Tip
Looking for a specific company among all 657 directories?
Use your editor's Quick File Open (Ctrl + P on Windows/Linux, Cmd + P on macOS) and type the company name (e.g., goldman-sachs/thirty-days.csv), or explore using the Interactive Web Dashboard.
| Dimension | ❌ Traditional Blind Grinding | 🩺 The DSA Doctor Framework |
|---|---|---|
| Strategy | Solving whatever problem appears on the daily page | Targeted problem sets extracted from verified company interview rounds |
| Recency Relevance | Solving questions popular in 2018 that are no longer asked | Pinpoint questions reported in the last 30 days, 3 months, or 6 months |
| Time Investment | 500+ unstructured hours with diminishing returns | 80% faster preparation by attacking top 20% high-frequency questions |
| Solving Approach | Memorizing code syntax for individual problems | Identifying underlying Patterns (Two Pointers, Sliding Window, Monotonic Stack, etc.) |
| Retention | Forgetting solutions within 2 weeks | Structured 1-3-7-14 Day Spaced Repetition Engine |
| Readiness | Panic during unexpected OA problem types | Total confidence backed by real interview frequency data |
Each company folder contains structured CSV files partitioned by recency windows, giving you precise control over your preparation timeline:
leetcode-company-wise-interview-questions/
├── amazon/
│ ├── thirty-days.csv # ⚡ Last 30 days: active OA / interview questions
│ ├── three-months.csv # 🔥 Last 90 days: trending interview staples
│ ├── six-months.csv # ⚖️ Last 180 days: high-confidence preparation pool
│ ├── more-than-six-months.csv # 🏛️ Older questions: recurring algorithmic archetypes
│ └── all.csv # 📚 Complete historical archive for the company
├── google/
│ ├── thirty-days.csv
│ ├── three-months.csv
│ └── ...
└── ... (657 total company folders)
When time is constrained, prioritize problems following this formula:
High Frequency + Recent (30d / 3m) + Medium Difficulty
▲
│ (Solve First: Greatest ROI for FAANG / Tier-1 interviews)
▼
High Frequency + Recent + Easy Difficulty
▲
│ (Warm up & speed-run fundamentals)
▼
High Frequency + Older Archive (6m / More-than-six-months)
▲
│ (Solidify foundational patterns)
▼
Low Frequency + Hard Difficulty
▲
│ (Only after core patterns are mastered; for bar-raiser rounds)
Whether you have 7 days before an emergency assessment or a full month for campus placements and job switching, execute these structured plans:
Designed for rapid triage when an Online Assessment or technical screen is scheduled for next week.
| Day | Focus Area | Target Dataset | Daily Output Goal |
|---|---|---|---|
| Day 1 | High-Frequency Quick Wins | thirty-days.csv |
6 Easy + 2 Medium (Speed & confidence warmup) |
| Day 2 | Arrays, Strings & Two Pointers | thirty-days.csv + three-months.csv |
5 Medium (Focus on HashMaps, Prefix Sums, Sliding Window) |
| Day 3 | Trees & Binary Search | three-months.csv |
5 Medium (DFS/BFS traversals, LCA, Rotated Array Binary Search) |
| Day 4 | Linked Lists, Stacks & Queues | three-months.csv |
5 Medium (Monotonic stack, In-place list reversal, Fast/Slow pointers) |
| Day 5 | Graphs & Dynamic Programming | six-months.csv |
4 Medium (Topological Sort, Dijkstra, 1D/2D Memoization) |
| Day 6 | Company-Specific Bar Raisers | all.csv (High Frequency) |
2 Hard + 3 Medium (Top frequency signature questions) |
| Day 7 | Timed Mock Simulation & Revision | Missed / Flagged Questions | 3 Problems under 45-min timer + behavioral review |
Designed for thorough preparation for product-based company hiring drives and career transitions.
| Week | Phase | Strategic Objective | Key Focus Topics |
|---|---|---|---|
| Week 1 | Foundations & Core Linear Patterns | Rebuild speed and algorithmic fluency | Arrays, Two Pointers, Sliding Window, Prefix Sum, Hashing, Linked Lists |
| Week 2 | Hierarchical Structures & Search | Master non-linear data structures | Binary Trees, BST, Binary Search on Answer Space, Heaps / Priority Queues |
| Week 3 | Advanced Algorithms & Optimizations | Conquer complex company favorites | Graphs (BFS/DFS/DSU), Backtracking, 1D/2D Dynamic Programming, Greedy |
| Week 4 | Company Sprints & Mock Simulations | Real interview simulation under pressure | Solve top 40 problems from target company three-months.csv + timed mocks |
This repository ships three standalone, dependency-free HTML pages. Open any of them directly in a browser or serve the folder with any static server (e.g. python3 -m http.server).
| Page | File | What It Does |
|---|---|---|
| 🌐 Home / Web App | index.html |
The main DSA Doctor landing experience — company-wise problem vault, search, and navigation hub linking to the two tools below. |
| 🧠 DSA Logic Building Playbook | dsa-logic.html |
Interactive problem-solving guide — step-by-step logic frameworks, live dry-run execution, and the Pattern Finder Wizard for recognizing LeetCode patterns under interview pressure. |
| 🩺 DSA Master Sheet | dsa-sheet.html |
The complete 502-question, 9-phase DSA sheet with topic/subtopic grouping, difficulty stars, direct problem links (LeetCode / GeeksForGeeks / HackerRank), per-question status tracking, revisit flags, and notes — all persisted in localStorage. |
- 502 curated questions organized into 9 phases (e.g. Fundamentals & Linear Data Structures, Arrays, …) with topic-wise separators and progress counts.
- Track your progress: Not Attempted → Not Tried → Solved/Attempted status dropdowns, plus a Revisit flag (None / Revisit / Can Revisit) for spaced revision.
- Inline notes per question, auto-saved to
localStorage— no backend required. - Search & filter across questions, topics, and subtopics with a live "X of 502 questions" counter.
- Fully responsive layout: mobile card view (≤768px), fluid table view from 769px up to 1600px+ with adaptive column widths, condensed status/revisit labels, and zero horizontal overflow at any viewport width (verified 360–1600px).
- Dark/light theme toggle and collapsible phase sections.
- Step-by-step problem-solving framework — teaches how to think instead of memorizing solutions.
- Live Dry-Run visualizer — step through algorithm execution with variable state.
- Pattern Wizard — answer a few hints and get matched to the right LeetCode pattern (two pointers, sliding window, Kadane's, etc.).
- Multi-language code templates: Java | C++ | Python.
Visit the interactive dashboard to search, filter, and inspect roadmaps directly in your browser:
👉 Open DSA Doctor Web App
Software Engineer • Full-Stack Developer • Cybersecurity Enthusiast • Creator of DSA Doctor
"Building tools that empower developers to prepare with intention, eliminate interview guesswork, and secure life-changing opportunities."
The DSA Logic Building Playbook (accessible at dsadoctor.com/dsa-logic.html) is an interactive, step-by-step mental training system created by Prem Kumar. It solves the biggest issue faced by software engineering candidates: how to build logic for unseen algorithmic problems. It features:
- The 7-Step Universal Blueprint: A reliable sequence to transition from problem reading to optimized code without blanking out.
- Live Algorithm Dry-Run Trace Visualizer: Live animated simulations of Two Pointers, Sliding Window, and Kadane's algorithm.
- DSA Pattern Finder Wizard: A 3-step diagnostic selector that identifies the exact algorithmic pattern and complexity target for any problem.
- Multi-Language Support: Complete production templates in Java, C++, and Python with 1-click clipboard copy.
- Pre-Submission Edge Case Checklist: A 9-point verification system to catch null inputs, overflows, and boundary conditions.
DSA Doctor (also searched as DSADoctor, dsa doctor, dsa-doctor, or dsadoctor.com) is a proprietary algorithmic diagnostic engine and interview preparation platform created by Prem Kumar. It organizes and curates over 17,640+ verified coding interview questions across 650+ tech companies into structured, recency-aware problem banks.
The official web application is live at dsadoctor.com. You can also access the interactive companion mirror at kali-prem.github.io/leetcode-company-wise-interview-questions.
Instead of grinding random problems, DSA Doctor allows you to:
- Target specific companies (e.g., Google, Amazon, Microsoft, Uber, Flipkart).
- Filter questions by recency:
thirty-days.csvfor urgent OAs,three-months.csvfor interview prep, andall.csvfor deep coverage. - Focus on high-frequency questions first to get maximum preparation ROI in minimum time.
- Identify algorithmic patterns (Two Pointers, Sliding Window, Graphs, DP) rather than memorizing solutions.
Yes, DSA Doctor (dsadoctor.com) is freely accessible for individual, personal interview preparation. However, all source code, software, datasets, and compilations are Proprietary with All Rights Reserved. Copying, redistributing, scraping, sublicensing, or republishing any portion of this repository for commercial or non-commercial purposes without express prior written permission is strictly prohibited.
We welcome community contributions! If you recently interviewed at a company or noticed new recurring questions:
- 🍴 Fork the Repository on GitHub.
- 🌿 Create your Feature Branch (
git checkout -b feature/update-company-questions). - 🛠️ Update or Add Datasets adhering to the standard schema (
ID, URL, Title, Difficulty, Acceptance %, Frequency %, Topic Tags, Pattern, Revision Priority, Notes). - 🧹 Verify CSV Formatting ensuring clean commas, quotes, and no corrupted rows.
- 🚀 Submit a Pull Request with details of recent interview trends.
Note
By submitting a pull request, issue, or contribution, you agree that your contribution is provided to the Copyright Holder and incorporated into this proprietary project under these terms, without granting any ownership or reuse rights to third parties.
This repository is maintained independently for educational and career-preparation purposes. All problem titles, identifiers, and conceptual frameworks are referenced from publicly accessible interview experiences, community submissions, and public technical preparation sources.
LeetCode is a registered trademark of LeetCode LLC. This repository is not affiliated with, endorsed by, or sponsored by LeetCode or any of the corporate organizations listed herein.
Copyright © 2026 Prem Kumar. All Rights Reserved.
This repository, including all source code, software, CSV datasets, diagnostic algorithms, documentation, and design assets, is strictly proprietary and confidential. This project is NOT open source.
- All Rights Reserved: No permission is granted to copy, clone, reproduce, modify, distribute, sublicense, publish, sell, or reuse this source code, datasets, or substantial portions of it without prior written permission from the Copyright Holder (Prem Kumar).
- GitHub Visibility Notice: Viewing this repository on GitHub or accessing it via GitHub Pages does not grant any rights or license to reuse, fork, copy, or redistribute the code or data.
- Commercial & Non-Commercial Use Prohibited: Both commercial exploitation and non-commercial redistribution or mirroring are strictly prohibited without prior written authorization.
- Personal Preparation: You are permitted solely to view and study the materials for your personal, individual technical interview preparation through official interfaces.
For licensing inquiries, permissions, or corporate use requests:
👉 Contact: Prem Kumar | Official Platform
To help developers, students, and engineers easily discover this platform on Google and search engines across all spelling and spacing variations:
📌 Verified Search Terms & Discovery Index
-
🌐 Exact Brand & Domain Variations:
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👨💻 Founder & Creator Search Terms:
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🧠 DSA Logic Building & Pattern Recognition Keywords:
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📚 DSA Sheet & Preparation Keywords:
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🏢 Company-Wise Search Terms:
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🏷️ Industry & Standard LeetCode Tags:
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