The Stat Guy

Want to break into quant or HFT in 2025?
Forget luck. Forget shortcuts. In every screening round, DSA is your make-or-break skill.

It’s the language every top firm speaks — and if you’re not fluent, you’re out.

To save you from wasting hours googling random resources, here’s a no-fluff, battle-tested DSA prep list that works 👇

⸻

📺 YouTube Channels
1. Striver A2Z DSA Playlist
Structured roadmap from basics to advanced.
Pseudocode + intuition = 🔥
https://lnkd.in/gJXB9cnY
2. NeetCode
Clean solutions + recurring LeetCode patterns.
Perfect for interview readiness.
https://lnkd.in/gwhyZfFi
3. William Lin (tmwilliamlin168)
Codeforces Grandmaster sharing live contests & elite problem-solving strategies.
Best for: Speed + strategy.
https://lnkd.in/gHiGtKRX
4. Errichto
Deep dives into algorithms and data structures.
Best for: ICPC-style problems.
https://lnkd.in/gE4tpbhJ
5. Vivek Gupta’s DP Workshop
Advanced DP transitions and optimisation tricks.
Brute force → Clean solution evolution.
https://lnkd.in/g62GukQS

⸻

📚 Algorithm Reading
1. CP-Algorithms
Suffix arrays, segment trees, heavy-light decomposition — all clearly explained.
https://cp-algorithms.com
2. Competitive Programmer’s Handbook – Antti Laaksonen
Free, beginner-friendly book that simplifies hard concepts.
3. HackerRank Quant Challenges
Math, probability, stats — highly relevant for quant interviews.
4. Glassdoor & Levels.fyi
Find real quant/HFT problems by company.
Pro tip: Search “Quant Researcher” or “Quant Trader.”

⸻

🏆 Practice Platforms
1. LeetCode
Patterns, contests, and company-specific filtering.
https://leetcode.com
2. AtCoder
Precise problems to sharpen logic.
https://atcoder.jp
3. CSES Problem Set
Graphs, trees, binary search — clean, elegant set.
https://cses.fi/problemset
4. Codeforces
Contests that push your math, logic, and speed under pressure.
https://codeforces.com

⸻

What actually works?
There’s no magic formula. Just:
• The right resources
• Ruthless consistency
• Strong fundamentals
• Learn → Apply → Reflect → Repeat

💾 Save this post
📩 Share with someone preparing for quant roles
🧵 Comment if you want a detailed DSA + Math roadmap just for quants!

++

Ace data science interviews >>
Todays topic: Random forest

What are most frequent interview questions related to random forest? This video contains popular interview questions that are related to algorithm, Questions: 1. How does Random Forest handle mis...

Netflix is hiring!

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♻️ Save it for later or share it with someone who might find it helpful!

This is the reality these days 😊

This ML question will fail by more than 80% during amazon interviews

Most frequently asked machine learning interview questions : Random Forest This is one of the most frequent interview question related to data science and machine learning ...

In 2020:
Everyone: “Become a Data Scientist — it’s the sexiest job of the 21st century.”

In 2025:
AI Engineers: building apps with 3 lines of LangChain
Data Scientists: still cleaning CSVs and arguing about p-values

What changed?

🔹 AI isn’t just about models anymore.
It’s about shipping solutions, fast.

🔹 The spotlight has shifted:
From analysis → to agent workflows
From accuracy → to usability
From insights → to impact

Let’s face it:

• Data Scientists laid the foundation
• AI Engineers are building the house

The new heroes of AI?
→ People who can prototype, deploy, and iterate fast
→ Who don’t just tune models — they build products with them

Data is still gold — but
Ex*****on is the real currency in GenAI.

If you’re still only focused on modeling,
2025 will leave you behind.

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Remember waiting 10 minutes for your pandas script to finish? Those days are over. Polars is the lightning-fast data manipulation library that's making data scientists everywhere question why they stuck with the old ways for so long.
Here's why you should make the switch:
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The best part? The learning curve is gentle if you're coming from pandas. Your muscle memory won't hate you.
Stop watching progress bars. Start getting results.

Microsoft is hiring!

(Apply before the roles close)

1. Business Analyst, Microsoft
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2. Product Manager, Microsoft
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3. Data Scientist, Upgrade
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4. Data Analyst, Orion
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♻️ Repost this to help the Job Seekers.

Stop paying $200 for Claude Code!

Google dropped 𝗚𝗲𝗺𝗶𝗻𝗶 𝗖𝗟𝗜, an AI workflow tool right in your command line.

What it does for you:

✅ 𝗤𝘂𝗲𝗿𝘆 & 𝗲𝗱𝗶𝘁 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲𝘀 with 1M token context window
✅ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗮𝗽𝗽𝘀 𝗳𝗿𝗼𝗺 𝗣𝗗𝗙𝘀 𝗼𝗿 𝘀𝗸𝗲𝘁𝗰𝗵𝗲𝘀 using multimodal capabilities
✅ 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗲𝗮𝗿𝗰𝗵 to ground your prompts with real-time data
✅ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘁𝗮𝘀𝗸𝘀 like handling rebases and querying pull requests
✅ 𝗙𝘂𝗹𝗹𝘆 𝗲𝘅𝘁𝗲𝗻𝘀𝗶𝗯𝗹𝗲 with Model Context Protocol (MCP) support
✅ 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝗺𝗲𝗱𝗶𝗮 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 tools like Imagen, Veo, and Lyria

And: It's 𝗳𝗿𝗲𝗲 for now, with 60 requests per minute and 1,000 requests per day

Plus it's completely 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 (Apache 2.0).

The best part? It uses 𝗚𝗲𝗺𝗶𝗻𝗶 𝟮.𝟱 𝗣𝗿𝗼 - Google's most sophisticated coding model.

If you don't have the money for Claude Code, this is an interesting alternative.

👉 Have you tried terminal-based AI coding yet?

Learn to find text similarity using rapidfuzz package python: https://statlearnhub.com/7-ways-to-find-text-similarity-using-rapidfuzz/

Rapidfuzz Package For Efficient Text Similarity Calculation This article explains 7 methods of calculating text similarity using rapidfuzz function in python with detailed examples.

Check this out about google’s newest open models : https://blog.google/technology/developers/gemma-open-models/