DSA Doctor

🎯 A premium company-wise DSA diagnosis and preparation vault for coding interviews, online assessments, and revision sprints.

🚀 Open Dashboard • 📊 Browse Data • 🧭 Study Plans

Prepare smarter. Practice with intent. Crack interviews with a plan.

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📌 Overview

DSA Doctor organizes LeetCode interview questions by company so you can prepare with intent instead of randomly picking problems. Each company folder contains CSV datasets grouped by recency, making it easier to focus on questions that are frequently reported for interviews and online assessments.

Use it when you want to:

• 🎯 Prepare for a target company with a focused problem list.
• 🔥 Prioritize high-frequency questions before interviews.
• 🕒 Compare recent and older question trends.
• ✅ Build a personal revision tracker from clean CSV data.
• 🧭 Create company-specific DSA roadmaps for placements or job switches.

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✨ What You Get

📈 Metric	📦 Current Coverage
🏢 Company folders	657
✅ Companies with full datasets	654
📊 CSV files	1,648
🧩 Company-problem entries	17,641+

Each dataset includes structured fields such as:

🏷️ Field	💡 Purpose
ID	LeetCode problem number
URL	Direct LeetCode problem link
Title	Problem name
Difficulty	Easy, Medium, or Hard
Acceptance %	Acceptance rate on LeetCode
Frequency %	Relative company-question frequency
Topic Tags	DSA area such as Arrays, Graphs, Trees, DP, Strings, or Design
Pattern	Solving pattern such as Two Pointers, BFS/DFS, Sliding Window, Binary Search, or Greedy
Revision Priority	High, Medium, or Low priority for smarter revision
Notes	Short prep guidance for how to use the problem

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🧠 Value-Added Metadata

This project adds an extra preparation layer on top of raw company-wise problem lists:

Column	What It Helps With
Topic Tags	Group problems by DSA area like Arrays, Graphs, Trees, DP, Strings, and Design
Pattern	Identify the solving technique such as Two Pointers, BFS/DFS, Sliding Window, Binary Search, or Greedy
Revision Priority	Decide what to solve first using High, Medium, and Low priority labels
Notes	Get short prep guidance such as must-revise or coverage-focused practice

These fields make the repository more useful than a plain question dump and help candidates prepare with a clear strategy.

💎 Why This Repo Stands Out

Most interview lists are either scattered, outdated, or hard to filter. This repository keeps the data simple, portable, and company-first.

• 🏢 Company-first preparation: jump directly into Amazon, Google, Microsoft, Meta, Adobe, Flipkart, and hundreds more.
• 🕒 Recency-aware lists: practice from thirty-days, three-months, six-months, and complete datasets where available.
• 📊 CSV-based workflow: easy to open in Excel, Google Sheets, Notion, scripts, dashboards, or your own tracker.
• 🔥 Frequency-focused practice: start with higher-frequency problems when time is limited.
• 🎓 Interview-friendly structure: useful for online assessments, campus placements, internships, and SDE interview prep.

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🧭 Company-Wise Roadmaps

The dashboard includes data-driven roadmaps for each company. Roadmaps are generated from the repository's CSV metadata using:

Signal	How It Improves Accuracy
Recency	Recent files such as thirty-days.csv, three-months.csv, and six-months.csv get higher weight
Frequency	Higher Frequency % problems influence roadmap priority more strongly
Difficulty	Medium and Hard problems slightly boost important interview areas
Metadata	Topic Tags, Pattern, and Revision Priority shape the final study flow

Each roadmap highlights top topics, top patterns, and a 3-phase study flow for the selected company.

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🗂️ Repository Structure

LeetCode-CompanyWise-Interview-Questions/
|
|-- amazon/
|   |-- all.csv
|   |-- thirty-days.csv
|   |-- three-months.csv
|   |-- six-months.csv
|   `-- more-than-six-months.csv
|
|-- google/
|   |-- all.csv
|   |-- thirty-days.csv
|   |-- three-months.csv
|   |-- six-months.csv
|   `-- more-than-six-months.csv
|
|-- microsoft/
|-- meta/
|-- adobe/
|-- flipkart/
`-- ...

Common files inside company folders:

📄 File	🚀 Best For
thirty-days.csv	Last-minute interview revision
three-months.csv	Focused short-term preparation
six-months.csv	Balanced company preparation
more-than-six-months.csv	Older but still useful patterns
all.csv	Complete company-wise question set

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⚡ Quick Start

1. 🏢 Pick your target company folder.
2. 📄 Open thirty-days.csv or three-months.csv if your interview is close.
3. 🔥 Sort by Frequency % in descending order.
4. 🟢 Solve Easy and Medium problems first, then move to Hard.
5. 🔁 Revisit missed problems after 3, 7, and 14 days.
6. 📚 Use all.csv when you want complete coverage.

Recommended priority:

High frequency + recent + medium difficulty
> high frequency + recent + easy
> high frequency + older
> low frequency + hard

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🧠 Suggested Study Plans

⚔️ 7-Day Sprint

Day	Focus
1	Easy and high-frequency problems
2	Arrays, strings, hashing
3	Trees and linked lists
4	Graphs and BFS/DFS
5	Dynamic programming basics
6	Company-specific Medium/Hard problems
7	Revision and mock interview round

🗓️ 30-Day Company Prep

Week	Focus
1	Easy + Medium fundamentals
2	Company high-frequency Medium problems
3	Graphs, DP, trees, and design-style problems
4	Hard problems, revision, and timed practice

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🏢 Company Coverage

The repository includes hundreds of company folders, including:

🚀 Product Companies	💰 Finance / Trading	🇮🇳 Indian Tech	🧰 Enterprise / SaaS
Amazon	Goldman Sachs	Flipkart	Salesforce
Google	Morgan Stanley	Swiggy	ServiceNow
Microsoft	Citadel	Zomato	Atlassian
Meta	Two Sigma	Razorpay	Adobe
Apple	DE Shaw	Paytm	Oracle
Netflix	Bloomberg	PhonePe	VMware

💡 Tip: use your editor search to quickly locate a company folder.

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🛠️ Make It Your Own

You can turn this repository into a personal interview command center by adding:

• ✅ progress.md for solved, revised, and skipped problems.
• 🏷️ Topic tags such as Arrays, DP, Graphs, Trees, and Binary Search.
• 📝 Personal notes for patterns, mistakes, and alternate solutions.
• 🧭 Company-specific roadmaps for your target roles.
• 🌐 A GitHub Pages dashboard for searching and filtering questions.

Example tracker format:

| Problem | Difficulty | Status | Notes |
| --- | --- | --- | --- |
| Two Sum | Easy | Solved | Hash map pattern |
| Add Two Numbers | Medium | Revise | Linked list carry handling |

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✅ Best Practices

• 🎯 Do not blindly solve every problem from all.csv.
• 🔥 Start with recent and high-frequency problems.
• 🧠 Track mistakes, not just solved counts.
• 🔁 Re-solve important problems without looking at solutions.
• ⏱️ Practice under a timer before interviews.
• 🧩 Group problems by pattern once you have solved enough questions.

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🤝 Contributing

Contributions are welcome. You can help by:

• ➕ Adding missing company datasets.
• 🔄 Updating outdated question lists.
• 🔗 Fixing broken LeetCode links.
• 🧹 Improving folder names or CSV consistency.
• 🧭 Adding topic tags, roadmaps, or study plans.

Contribution flow:

1. 🍴 Fork the repository.
2. 🌿 Create a new branch.
3. 🛠️ Make a focused change.
4. 🚀 Open a pull request with a clear description.

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⚠️ Disclaimer

This repository is intended for educational and interview-preparation purposes. The questions are compiled from publicly available information, community reports, and observed interview-preparation patterns. Actual interview questions vary by role, team, level, region, and time.

LeetCode is a trademark of its respective owner. This repository is not affiliated with or endorsed by LeetCode or any listed company.

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📜 License

This project is available under the MIT License.

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⭐ If this repository helps you, consider starring it so more candidates can find it.

Keep solving. Keep revising. Keep getting interview-ready.