Abhishek

@Dwriteway Won't leave this until I make my fortune here. Doesn't matter what comes in way.

If SQL Looks difficult to you follow these #sql #sqltips #sqltricks

My account with 44000 followers suspended without any information @instagram Username - thedataguy16 I am an authentic person you can call me anytime

Want to go from zero to hired in 90 days? Excel, SQL, Power BI, Python 25 real projects + 100 interview Q&As Resume templates + mentor access 👉 topmate.io/abhishek_kumar…

🤖 ML + 📐 Stats + ⚡ Performance • precision vs recall • data leakage • L1 vs L2 • p-value + A/B testing • vectorisation vs apply() • generators • multiprocessing vs threading

100 Python interview questions for data jobs. 10 topics. All the ones that actually come up. 🧵 Save this thread.

Neet paper leak is saddening #neetexam2026 #neetpaperleak

@Its_Nova1012 Data analysis is not just writing code. It is understanding business problems, cleaning messy data, building dashboards, and presenting insights. AI can write code but it cannot understand your business context. That is why data analysts will always be needed.

AI is already writing better code than many devs today, so what are your future plans?

AI will not make you lose coding skills if you are using it the right way. It should make you faster, not lazy. I use AI to explain hard concepts to my students. But they still write the SQL, build the dashboards, and solve the problems themselves. AI is a tool, not a replacement.

Can Ai make you loose your coding skills?

@TTrimoreau Your ability to ask better questions and interpret the output with domain knowledge. AI gives answers. Data analysts turn those answers into business decisions. That is why learning the fundamentals matters, even in the AI era.

If AI gives everyone the same output, what makes yours different?

@sickdotdev Same applies to learning data analysis. You cannot just copy tutorials. You need real projects with real datasets. That is what separates portfolio-ready candidates from tutorial collectors.

you don't beat github by copying github

@vheeorji22 Love this. Most people fail at data because they jump into tools without a plan. In my program, we map the entire 90 days like a project plan. You know exactly what to learn and when. That is why students land interviews, not just knowledge.

good data analysts have one thing in common with productive people: they don’t guess, they have a plan. map your week like a dashboard. know your KPIs,track your progress. what’s your #1 KPI for this week?

@inkandideas_ This is exactly why we teach people to let data speak before they make decisions. In my 90-day program, even students from non-tech backgrounds learn this fast. One skill, one mindset shift. That is how opinions turn into insights.

"Without data, you're just another person with an opinion." — W. Edwards Deming. The scary part is how many decisions still get made that way.

Agreed. Excel is the fastest way for someone from a small town or non-engineering background to break into data. No need to learn Python first — Excel is their gateway. I've seen it personally with 100+ students from tier 2 & 3 cities. They start here. Then everything else follows.

I think Microsoft Excel should be a course in universities, a compulsory course.

@themishra4402 I'd shift to the next tool. But the real answer: if Claude is your crutch, you're in trouble. The tool is an amplifier, not the skill. Learn to think without it, then use it for speed. That's the real resilience.

If Claude is banned forever...what will you do?

@kaaaash____ ThinkPad for developers who care about keyboard and control. Macbook for consistency. But the real choice is: what software do you need? What's your workflow? Hardware opinion doesn't matter if the tools are wrong.

Be honest, ThinkPad or Macbook

@GohilHardy Opus 4.8. Anthropic's iteration cycle is tighter. But honestly, the real question isn't version numbers, it's whether you're using the tool to think better or just asking faster. The model matters less than your prompting.

What's coming first? • GPT-5.6 • Opus 4.8 • Gemini 4

@konnydev Never code manually again. If you know your craft deeply, AI is just faster execution. But if you don't understand fundamentals, not using AI doesn't make you more skilled. The skill is in directing the tool, not in keystrokes.

Pick one: - Never use AI again - Never code manually again