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Helping people break into AI/ML/Data Science
No jargon. No fluff. Just what actually works.
New post every day 📅
📩 Collabs: [email protected]
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Cost of becoming a Data Analyst in 2026: ₹0 💸

Not clickbait, just maths. Excel, SQL, Python, Power BI, Stats, portfolio projects — the full stack, and every single one of it free if you know where to look.

The only thing missing from this receipt? 6 months of consistency. Woh toh khud hi daalna padega 😅

Save this before it disappears into your feed 📌
Comment ANALYST and I’ll send you all 6 resources, free 👇 by @zuhrah.tech
26
a day ago
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If I had to master Python in 7 days, here’s exactly what I’d watch 👇

No fluff, no 10-hour course you’ll abandon on day 2 — just one focused video a day. Bas yeh follow karlo and you’re actually sorted by day 7.

Day 1 → Python basics (yes, in 1 hour)
Day 2–5 → lists/tuples/sets → functions → OOP → comprehensions
Day 6 → pandas
Day 7 → 12 beginner projects to actually use what you learned

This is the exact order I’d pick if I were starting from zero today.

Save this 📌 so you don’t lose it, and comment PYTHON — I’ll DM you all 7 links right away 👇

#Python #PythonProgramming #LearnPython #PythonForBeginners #CodeNewbie by @zuhrah.tech
140
2 days ago
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Q.01 PySpark Interview — What does this print? 👀

Real talk, this one catches SO many people off guard in interviews.

Hint: think about what avg() actually does with null values... it’s not what most people assume 👀

This is the difference between “I know PySpark syntax” and “I’ve actually debugged PySpark in prod” and yaar, that gap closes with reps, not talent.

Comment your answer below before you scroll for the explanation 👇
Drop a 🔥 if you’re confident, and tell me what gotcha you want next! by @zuhrah.tech
30
3 days ago
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I’ll say something that might hurt a little 😭

If your AI project only works inside a Jupyter notebook…
bhai, you’re not done yet.

And I don’t mean that in a bad way.

The notebook is where you experiment.
You try things. You break things. You change the prompt 17 times. You celebrate when the output finally looks right. 😂

But then comes the part nobody really talks about:

Taking that messy little experiment and turning it into something someone can actually use.

Build the API.
Deploy it.
Add authentication.
Think about latency.
Evaluate your model.
Handle failures.
Monitor it.
Make it reliable.

That’s where the real learning starts.

And honestly, don’t wait until you “know enough” to start building.

Karte karte seekho.
Build something. Break it. Fix it. Ship it.

Your first AI project doesn’t need to be perfect.

It just needs to leave your notebook. 🫶

#AIEngineering #MachineLearning #GenAI #AIEngineer #BuildInPublic TechCareers by @zuhrah.tech
8
6 days ago
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If you had just ONE WEEK to learn Databricks, where would you start?

Not with 10 different courses. Not with 50 bookmarked tutorials.

I’d keep it simple: 7 days → 7 resources → 1 hands-on project.

You’ll go from understanding the Databricks basics to working with Spark, Delta Lake, ETL pipelines and Lakeflow Jobs.

The goal isn’t to become a Databricks expert in 7 days.

It’s to become functional enough to actually build.

Save this for your next learning sprint.

Comment “DATABRICKS” and I’ll send you all 7 resources directly.

#Databricks #DataEngineering #ApacheSpark #PySpark #DataEngineer by @zuhrah.tech
102
17 days ago
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Three options. One is right.

Comment A, B or C — I’ll send you the answer and the fix.

Follow @zuhrah.tech for the SQL questions interviews actually ask. by @zuhrah.tech
627
20 days ago
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Interviewer: “How many rows does this return?”

Comment SQL to get the answer in your DM 👇

Follow @zuhrah.tech for more traps like this.

#sql #sqlinterview #dataengineering #datascience #interviewquestions by @zuhrah.tech
492
a month ago
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AWS or Azure?

Me: localhost.

“It works on my machine.” 🤡

Every developer knows the pain.

#aws #azure #cloudcomputing #python #developer by @zuhrah.tech
8
a month ago
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A, B, or C?

Don’t overthink it.
Drop your answer before you scroll.

Most people get this one wrong because of a tiny Python operator-precedence trap.

Comment PYTHON and I’ll send you the answer + explanation.

Follow @zuhrah.tech for more Python, SQL & AI engineering interview traps.

#python #pythonprogramming #pandas #dataengineering #aiengineering by @zuhrah.tech
359
a month ago
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Every data analyst gets this wrong at least once.

Comment SQL to get the answer in your DM 👇

Follow @zuhrah.tech for more traps like this.

#sql #sqlinterview #dataengineering #datascience #dataanalyst by @zuhrah.tech
647
a month ago
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Recruiters mass-reject Data Analyst resumes in 7 seconds. This template survives.

I’ve reviewed hundreds of DA/DS resumes. The same mistakes every time “proficient in SQL” bullets, zero numbers, projects section that reads like a college assignment.

So I built a template that fixes all of it:
→ Every bullet opens with impact, not responsibility
→ Skills formatted so ATS actually parses them
→ Projects section that makes hiring managers stop scrolling

Comment DATA and I’ll DM it to you for free.

Save this. Send it to that friend who’s been “applying everywhere” with zero callbacks.

Which role should I make next SDE, PM, or Fresher?

.
.
.
#dataanalyst #resumetips #resumetemplate #datascience #analytics by @zuhrah.tech
2k
a month ago
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My interviewer laughed when I got this wrong.

Comment PYTHON to get the answer in your DM 👇

Follow @zuhrah.tech for more traps like this.

#python #pythonprogramming #pythoninterview #dataengineering #datascience by @zuhrah.tech
566
a month ago
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