SQL Guy, AWS, Tableau Certified , Data Modelling, DWBI, Machine Learning, Python,BI, ETL (Datastage/Informatica),Data warehousing , Unix scripting ,Product Development, SAP HANA, Supply chain analytics, pharmacovigilance.

Ankit Bansal

The message is “keep calm and believe in yourself . Your time will come” . I repeat ..


Your time will come 🙌🥊🔥

Founder @ NamasteSQL.com | SQL Champion | YouTuber

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Edit : As promised 35 percent discount is ON . Use code INDIA 🇮🇳 


Massive discount on NamasteSQL If India wins the match today. ( Based on margin of victory👇)


Please read till the end to understand the complete calculations.


If India wins by runs:
Discount percentage = winning run margin 

For example if India wins by 30 runs then 30 percent discount.


If India wins by wickets:
Discount percentage = 5* (# of wickets remaining)

For example if India wins by 7 wickets then 35 percent discount.


If India wins in a super over then flat 30 percent discount.

Please note that there is a lower and upper cap for discount which is 25 and 35 percent respectively.

Use code INDIA after the match ✌️

Let's cheer for team India and a big win 🔥🔥🏆🏆

Indiaaa Indiaaa 🇮🇳🇮🇳

#t20wc #india #analytics

Yes, they all play for the country, but the feeling of pride and happiness it brings to their families gives a different level of satisfaction. 🙏🇮🇳

Data Engineer hackathon has begun on NamasteSQL and here is the leaderboard after first day. 

Anandnarayanan S is leading the chart with full marks.

You can still participate and show your problem solving skills.  Just visit namastesql(dot)com to take part. 

PS : Top 3 winners will get FREE access to namaste spark course 😍

People have so short attention span nowadays. They don’t even read full post.


Yesterday I posted in the morning that NamasteSQL will offer a discount equivalent to the number of runs India wins by.

It was clearly mentioned that the upper cap for discount is 35%.

Still a lot of people started messaging me at night saying
“Please provide 96% discount now.”

To everyone of them I responded:

Read the post again.

Sometimes the problem is not the post, it’s the patience to read it.

PS : The discount will be LIVE till tonight . Use code INDIA at checkout .

Messages like this make everything worth it. ❤️

Someone with 6+ years of experience in SQL and Data Warehousing saying that things finally became crystal clear after watching the video is exactly why I create this content.

Many professionals work with data for years but never get the chance to understand the fundamentals of data modeling and warehousing properly. Once those concepts click, everything suddenly starts making sense.

That “aha” moment is what I try to create with every video.

Grateful for everyone who watches, learns, and takes a minute to share feedback like this. It means a lot. 🙏

If you are preparing for Data Engineering or Analytics interviews, this video might help you revise the core concepts quickly.

Sometimes all it takes is the right explanation at the right time. 🚀

Link in comments .

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As promised 35 percent discount is ON . Use code INDIA 🇮🇳

More than 500 students have given the test so far and here is the current leaderboard of data engineer hackathon on NamasteSQL . 

5 days more to go.  You can still register and flaunt your problem solving skills. 

To register visit namastesql(dot)com -> Courses-> Live Bootcamp -> click on enroll . 

Happy coding.

Senior Analyst @ Accenture | Helping Students & Beginners Break into Data Careers | 1:1 Coaching, Projects, & Career Roadmaps | 350+ placed | Open to collaborate| Youtuber

Sr. Analyst | Data Influencer | Educator | Career Coach & Mentor
Guiding aspiring analysts to break into the data field with clarity, confidence & real-world skills.

In 2019, I stepped into the world of Data Analytics—
❌ No technical background
❌ No connections
❌ No roadmap

Just pure perseverance and a commitment to learn.

Today, I make sure you don't have to walk that path alone.
Through years of mentoring and hands-on industry experience, I’ve helped 2000+ students transition into successful analytics careers—and the community continues to grow. 🚀

👨‍🏫 What I Do as a Career Coach & Mentor

🎯 Personalized career roadmaps for non-technical professionals entering analytics

📄 Resume revamps that highlight your transferable skills

🤝 1:1 job search coaching with practical, buzzword-free guidance

🎤 Interview preparation tailored to analytics roles

🌐 Access to a supportive community of career-changers

📢 Open for collaborations, workshops, speaking events & training sessions

🎓 Who I Help

🔄 Career switchers unsure where to begin

🎓 Students struggling to get noticed

💼 Professionals seeking growth in analytics

👥 Anyone from a non-tech background who wants to build a successful career in data

🤗 Individuals who want a supportive, consistent, growth-focused community

🤝 Let’s Connect

📩 Email: mk24sablani@gmail.com

🌏 For Australian students: https://emergimentors.com.au/dashboard

💬 Open for: collabs, speaker invites, orientation events, corporate seminars & workshops

Mukesh Sablani

Hi everyone! I’m seeking a new role and would appreciate your support. If you hear of any opportunities or just want to catch up, please send me a message or comment below. I’d love to reconnect. #OpenToWork

About me & what I’m looking for:
💼 I’m looking for Data Analyst, Data Engineer, and Business Intelligence Analyst roles.
🌎 I’m open to roles in Noida, Gurugram, Delhi, and Pune District.
⭐ I’ve previously worked at Polaris Inc., Accenture, and Schneider Electric.

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Sr Decision Science Analyst(Gen AI Division)

Mentor

Data Analytics Mentor

Data Analyst

Helping Students & Professionals Break Into Data | Career Transition Specialist | Interview Prep Expert | Sr. Analyst (5+ yrs) | 350+ Placed | Mentor | Freelance Data Analyst | YouTuber | Open to Collaborate

Helping Students & Professionals Break Into Data | Career Transition Specialist |Data Analytics & Engineering (4+ yrs) | 350+ Placed | Mentor | Trainer | YouTuber | Open to Collaborate

𝐇𝐢𝐫𝐢𝐧𝐠 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬 𝐚𝐫𝐞 𝐥𝐲𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮. 𝐍𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐭𝐢𝐨𝐧𝐚𝐥𝐥𝐲 — 𝐛𝐮𝐭 𝐭𝐡𝐞𝐲'𝐫𝐞 𝐥𝐲𝐢𝐧𝐠.

90% of Data Analyst job postings require Python.
I've worked in data for 4  years across Energy , finance, Supply Chain and tech.

You know how often I actually open Python at work?
Maybe once a month. On a good month.

Here's what your actual Tuesday looks like as a Data Analyst:
Excel — you'll live here. Accept it. SQL — your best friend, every single day. Power BI or Tableau — open more than your email. PowerPoint — because the C-suite will never read your dashboard.

Python? It's the skill that got you the interview. Not the job.
Most analysts I've seen are still barely touching Python — but they're running circles around others in SQL and storytelling with data. That's what actually gets you promoted.

The dirty truth is that most analyst roles don't have the infrastructure, the time, or frankly the need for Python. Stakeholders want a clean table in an email, not a Jupyter notebook.
Now before the data scientists flood my comments — yes, Python matters enormously for engineering and science roles. No debate there.

But if you're an aspiring analyst burning weekends on pandas tutorials while your SQL is still shaky?

You have your priorities backwards.
The gap between job postings and what the job actually is has never been bigger.
Learn what gets you hired. Master what keeps you employed. They're not always the same thing.
And if you're job hunting right now — which tool are you focusing on?

𝟔 𝐦𝐨𝐧𝐭𝐡𝐬 𝐚𝐠𝐨, 𝐞𝐯𝐞𝐫𝐲 𝐌𝐨𝐧𝐝𝐚𝐲 𝐟𝐞𝐥𝐭 𝐥𝐢𝐤𝐞 𝐚 𝐩𝐮𝐧𝐢𝐬𝐡𝐦𝐞𝐧𝐭.

I'd sit down, open my laptop, and spend the next 4 hours doing the same thing:

Pull data. Clean it. Build reports. Send dashboards. Repeat.
Last Monday? I was done in 35 minutes.
Nothing changed about me. But everything changed about how I work.
The reason? Agentic AI.
And no — I don't mean ChatGPT.
Most people think AI = you ask something, it answers. That's it.
Agentic AI is a completely different animal.
It doesn't wait for you to ask. It just... works.
It looks at your data pipelines, figures out what needs to happen, and does it  from start to finish — on its own.

In my day-to-day as a Data Professional, that looks like this:
→ Data gets pulled from multiple places automatically 
→ Messy data gets cleaned without me touching it 
→ Dashboards refresh themselves in real time 
→ Reports land in the right inbox at the right time 
→ If something looks off in the numbers, I find out before my manager does
Honestly? At first it felt weird. Like — is this actually real?

But after a few weeks, I stopped questioning it and started thinking differently about my job.
I'm not just someone who runs queries and builds charts anymore.
I've become someone who asks better questions and makes smarter decisions with the time I saved.

That shift is huge.
The analysts I see thriving right now aren't the ones who know the most SQL. They're the ones who figured out how to work with AI instead of around it.
If you're still spending 3–4 hours every week doing the same repetitive data tasks — there's a better way. And it's available right now.

The only question is — are you upgrading with it?
💬 Tell me below: what's one task in your data work that you'd love to never do manually again? I'm curious what's eating up your time.
👇
#DataAnalytics #AgenticAI #BusinessIntelligence #DataAnalyst #AI2026 #FutureOfWork

𝐈 𝐇𝐚𝐝 𝐀𝐥𝐥 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚. 𝐈 𝐇𝐚𝐝 𝐙𝐞𝐫𝐨 𝐈𝐧𝐬𝐢𝐠𝐡𝐭. 𝐓𝐡𝐞𝐧 𝐂𝐚𝐦𝐞 𝐀𝐈.

I was staring at my screen at midnight. Numbers everywhere. Completely lost.

Three years of posts. Thousands of hours. And I still couldn't answer  "What is actually working?"

I wasn't lazy. I wasn't untalented. I was just missing clarity.
Then I fed 3 years of data into an AI analytics tool. Went to sleep skeptical. Woke up humbled.

It showed me everything I'd missed — → 83% of results came from just 6 formats → I was posting at the wrong time daily → My best topics? I had nearly abandoned them

AI didn't replace my creativity. It aimed it.
Stopped creating from fear. Started creating from confidence.

You don't need more data. You need the truth about what you already have.
#DataAnalytics #AITools # #LinkedInGrowth #CreatorEconomy

🚨 AI isn't just changing Data Science — it's eliminating entire roles.

I see too many aspiring Data Scientists learning the WRONG skills in 2026.

Here's the truth:
✅ Some Data Science roles are booming
❌ Others are quietly disappearing

In my latest video, I break down:
→ Which roles AI is replacing
→ High-paying AI-driven careers emerging NOW
→ Exact skills companies are hiring for in 2026

If you're starting or switching into Data Science, watch this before making your next move.

🎥 Watch here → https://lnkd.in/g-x3z8SU


👇 Let me know your thoughts — Do you think AI is a threat or an opportunity for Data Scientists? Drop your opinion below!

#DataScience #AI #CareerGrowth #DataAnalytics

Most data analysts apply for 100 jobs and hear nothing back.

Not because they lack skills. Because they don't know what hiring managers are ACTUALLY looking for in 2026.

Here is the truth nobody tells you 👇
✅ They don't just want SQL skills — they want business thinking 

✅ They don't just want dashboards — they want insights that drive decisions 

✅ They don't just want certificates — they want real project experience 

✅ They don't just want experience — they want someone who asks the right questions

The analysts getting hired in 2026 are not the most technical ones.
They are the ones who can connect data to business problems.

Stop just learning tools. Start thinking like a business person who uses data.
That one shift will change everything. 💡

Are you focusing on the right skills? Comment below 👇
#DataAnalytics #DataScience #CareerTips #HiringManagers #Analytics2026 #DataJobs #JobSearch #LinkedInTips

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ankit Bansal's LinkedIn Performance

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