Amlan Mohanty

Everyone is talking about Claude.

Almost nobody is talking about how the world's largest companies are actually using AI.

That's where billions of dollars are being invested.

That's where careers are being built.

That's where the next competitive advantage is being created.

I sat down with the Chief Product Officer of Blue Yonder to discuss

how enterprise AI is changing business, leadership, and decision-making at global scale.

One of the most insightful conversations I've had.

⏳ Premiering in a few hours.


#AI #EnterpriseAI #SupplyChain #Leadership #BusinessStrategy

3 days ago | [YT] | 24

Amlan Mohanty

Data Analyst vs Data Scientist vs ML Engineer.

People confuse these constantly. Here's the real difference:

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁
→ What happened and why?
→ Tools: SQL, Excel, Tableau/Power BI, basic Python
→ Typical salary (US): $65k-$95k entry level

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁
→ What will happen next?
→ Tools: Python/R, machine learning, statistics
→ Typical salary (US): $95k-$130k entry level

𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿
→ How do we deploy predictions at scale?
→ Tools: Python, cloud platforms, MLOps, software engineering
→ Typical salary (US): $120k-$160k entry level

Which should you target?

If you're starting out: Data Analyst.

Lower barrier to entry.
Faster path to your first role.

And it gives you a front-row seat to the data problems companies actually care about.

Save this. And share it with someone who's confused about which path to take.

𝐏.𝐒. I recently launched Data Career School to help aspiring data professionals stand out in a crowded job market.

Learn more here → www.datacareerschool.com


#dataanalyst #dataanalytics #datascience #machinelearning

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1 week ago | [YT] | 75

Amlan Mohanty

The complete FREE path to learning data analytics:

(Save this now so you don't have to search for it later)

𝗦𝗧𝗔𝗚𝗘 𝟭: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 (weeks 1-4)
→ SQL: SQLZoo (sqlzoo.net) + Mode SQL Tutorial (both free)
→ Excel: ExcelJet.net for formulas, YouTube for pivot tables
→ Stats basics: Khan Academy Statistics (free)

𝗦𝗧𝗔𝗚𝗘 𝟮: 𝗖𝗼𝗿𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (weeks 5-10)
→ Python: Kaggle Learn both Python + Pandas (free)
→ Data cleaning: Tidy Data paper by Hadley Wickham (free PDF)
→ Practice environment: Google Colab (free)

𝗦𝗧𝗔𝗚𝗘 𝟯: 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (weeks 11-14)
→ Power BI: Microsoft Learn (free) + Guy in a Cube on YouTube
→ Tableau: Tableau Public (free tool) + official training videos
→ Design principles: Storytelling with Data blog by Cole Nussbaumer (free articles)

𝗦𝗧𝗔𝗚𝗘 𝟰: 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 + 𝗝𝗼𝗯 𝗦𝗲𝗮𝗿𝗰𝗵 (weeks 15-18)
→ Datasets: Kaggle, UCI ML Repository, data.gov (all free)
→ GitHub: GitHub Skills (free) can publish every project here
→ Resume: Resume Worded free scan + peer review
→ LinkedIn: Optimize with keywords from job descriptions you want

Total cost: $0.
Total time if done consistently: 4-5 months.

Save this roadmap. It's everything you need in the right order.

𝐏.𝐒. For those who ask me about projects, portfolios, and breaking into data,
I've put everything in one place here → www.datacareerschool.com/

#dataanalyst #dataanalytics #jobsearch

2 weeks ago (edited) | [YT] | 118

Amlan Mohanty

Most people prepare for interviews the wrong way.

They spend 3 weeks doing nothing.

Then try to learn SQL, Python, Statistics, Case Studies, Machine Learning, and everything else in the 10 days before an interview.

That approach rarely works.

A better system:

Week 1 → SQL

Focus on joins, aggregations, window functions, CTEs, and interview questions.

Week 2 → Python

Practice data manipulation, functions, loops, dictionaries, pandas, and problem-solving.

Week 3 → Statistics

Cover probability, hypothesis testing, distributions, confidence intervals, and business interpretation.

Week 4 → Business Cases

Work through product metrics, stakeholder questions, KPI selection, experimentation, and analytical thinking.

Then repeat the cycle.

Why?

Because interviews don’t test what you studied last week.

They test what you’ve retained over time.

A candidate who spends 4 hours every week on SQL for 6 months will usually outperform someone who crammed SQL for 40 hours last weekend.

Consistency compounds.

Cramming disappears.

The best interview preparation strategy is often the least exciting one:

Learn.
Practice.
Review.
Repeat.

What does your interview preparation system look like?

#dataanalyst #dataanalytics #interviewprep

2 weeks ago | [YT] | 149

Amlan Mohanty

I found 10 Claude prompts that quietly do the work of a Senior Data Analyst.

Not "summarize this" or "write a SQL query."

Those are everywhere, and they're not what gets you ahead.

These are the ones that handle the thinking.
The judgment calls.

The parts that quietly separate someone who just runs reports and cleans data

From someone who gets pulled into the room where decisions actually happen.

I didn't pull these from a blog post.

I've been running them on real data analytics work for weeks

Everything from exploratory analysis and SQL to dashboards and stakeholder reporting

Tightening the wording until each one earned its place.

Some shave an hour off the boring parts. A couple do things I genuinely wouldn't have thought to ask for.

Save it for the next time you stare at a fresh dataset wondering where to start.

Repost if it earns a spot in your data analyst workflow. ♻️

Continued in the comments…

#DataAnalyst #DataAnalytics #Claude

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3 weeks ago | [YT] | 424

Amlan Mohanty

Unpopular opinion 🚨🚨

SQL is NOT the reason you're not getting a data job.

You can learn SQL in 2–3 weeks.

Companies know that.

So why are you still getting rejected?

Because you're thinking like a student.

Not like a problem-solver.

Most aspiring data analysts:
• Learn syntax
• Build random projects
• Add tools to resume

But never answer one simple question:

How does this help a business make money or save costs?

That’s the gap.

Not your skills.

If your projects don’t show business impact,
you’re invisible to recruiters.

Brutal, but true.

So instead of asking
What tool should I learn next?

Start asking
What business problem can I solve?

That shift changes everything.

👇 What do you think is actually stopping you right now?

#dataanalyst #dataanalytics #sql #ai

3 weeks ago | [YT] | 94

Amlan Mohanty

Every year, thousands of international students ask the same question. 🎓 🇺🇸

Is a US Master’s in Data Science still worth it?

But most people are asking the wrong question.

They compare rankings.
Tuition fees.
Brand names.

Meanwhile the students who actually win are looking at completely different things.

👉 Can this program help me get internships?

👉Does it give me enough visa runway?

👉Are alumni actually responsive?

👉Do employers recruit here?

👉Will this improve my odds of sponsorship?


Because the truth is
A US degree by itself is not the ROI anymore.

There are students graduating with massive debt and no offers.

And there are others from lesser-known universities quietly landing strong roles because they understood how to play the game early.

The gap is no longer just intelligence.
It’s strategy.

This carousel breaks down the REAL factors that decide whether a US MS in Data Science becomes

life-changing or financially painful.

If you’re planning for Spring or Fall 2027 or still shortlisting universities, read this first. 👇

#InternationalStudents #MSinUS #MSinUSA #StudyAbroad #F1Visa

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1 month ago | [YT] | 33

Amlan Mohanty

STOP scrolling and read this.

DataCamp just made all 600+ of their premium courses completely FREE from June 1st to June 7th.

I've used DataCamp for years throughout my undergrad and masters. Their tracks are built around what companies actually hire for.

If I were starting my data journey today, here's exactly what I'd pick:


𝗦𝗤𝗟

→ Associate Data Analyst in SQL: datacamp.pxf.io/c/7201416/2890368/13294?subId1=lin…

→ SQL Fundamentals: datacamp.pxf.io/c/7201416/3120137/13294?subId1=lin…

𝗣𝘆𝘁𝗵𝗼𝗻

→ Data Analyst with Python: datacamp.pxf.io/c/7201416/3120142/13294?subId1=lin…

→ Python Data Fundamentals: datacamp.pxf.io/c/7201416/3120208/13294?subId1=lin…

𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

→ Data Analyst in Power BI: datacamp.pxf.io/c/7201416/3120130/13294?subId1=lin…

→ Tableau Fundamentals: datacamp.pxf.io/c/7201416/2890364/13294?subId1=lin…

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲

→ Associate Data Scientist in Python: datacamp.pxf.io/c/7201416/3781095/13294?subId1=lin…

𝗔𝗜

→ Associate AI Engineer for Data Scientists: datacamp.pxf.io/c/7201416/3423763/13294?subId1=lin…

→ AI Fundamentals: datacamp.pxf.io/c/7201416/3123089/13294?subId1=lin…


What I love about DataCamp:

→ You write real code from day 1 (no passive watching)

→ Hands-on projects with real datasets

→ Tracks built around what companies actually hire for

→ Industry recognized certifications



All 600+ courses are completely available for FREE here: datacamp.pxf.io/c/7201416/3914193/13294?subId1=lin…

No credit card. No catch. Just free access until June 7th.

💾 Save this for later.

♻️ Repost to help someone who needs it.

#dataanalyst #dataanalytics #dataanalystcourse

1 month ago (edited) | [YT] | 38

Amlan Mohanty

Remote Data Analyst roles are genuinely one of the most accessible opportunities in the market right now.

But accessible doesn't mean automatic.

The people landing these roles aren't luckier than you. They're just operating with better information.

I put together everything you need in the carousel below.


👉 Where to find the roles most people never see.

👉 What the market is actually paying in 2026.

👉 What gets you hired and what gets you filtered out.


This is the information I wish I had when I was starting out.

Save it. Share it with a friend who needs it. Repost it. ♻️

Follow ‪@amlanmohanty1‬ for more updates on Data & AI careers.

Which part was most useful for you? Drop it below 👇

#dataanalyst #dataanalytics #remotejobs

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1 month ago | [YT] | 188

Amlan Mohanty

You know what makes the US job search brutal for international students?

It’s not just the rejections.

It’s watching people around you get opportunities while you slowly start questioning yourself.

You start wondering

Am I not skilled enough?
Did I make a mistake coming here?
Why is nobody even replying?

Meanwhile your OPT clock keeps ticking in the background every single day.

And the worst part?

Most people will just tell you:

→ Keep applying
→ Tailor your resume
→ Stay positive

while you silently spiral after your 200th application.

I’ve seen genuinely talented international students struggle badly.

Because this game is not only about skill.

There are hidden rules nobody tells international students early enough.

That’s what this carousel is about.

The things people usually realize after months of stress, rejection, and feeling like they’re falling behind in life.

If you’re trying to find a job in the US right now…
Read this. 👇

#InternationalStudents #OPT #H1B #StudyAbroad

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1 month ago | [YT] | 29