Data Careers Resources & Job Updates | iamrupnath
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👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more
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Канал Data Careers Resources & Job Updates | iamrupnath (@codewithrup) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 21 400 підписників, посідаючи 6 134 місце в категорії Технології та додатки та 19 532 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 21 400 підписників.
За останніми даними від 28 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -413, а за останні 24 години на -15, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
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- Охоплення публікацій: В середньому кожен допис отримує 933 переглядів. Протягом першої доби публікація в середньому набирає 277 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як apply, qualification, bachelor, degree, engineer.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“👉 Connect LinkedIn :
https://www.linkedin.com/in/rupnath-shaw
Google Search => Techcompreviews
IG: @iamrupnath
Perfect channel for Data Careers, Job Updates
Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more”
Завдяки високій частоті оновлень (останні дані отримано 29 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
21 400
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Архів дописів
5 SQL Mistakes That Make Queries 100x Slower
Cover:
SELECT *, missing indexes, functions in WHERE, unnecessary JOINs, subqueries.
https://www.linkedin.com/feed/update/urn:li:share:7488197667341385728/✅ Top 10 Excel Interview Questions & Answers 📊💼
1️⃣ What is Excel and why is it used?
Excel is a spreadsheet program used for organizing, analyzing, and storing data in tabular form. It's widely used for data analysis, reporting, and financial modeling.
2️⃣ Key Excel components?
- Ribbon: Main menu
- Worksheet: A single sheet
- Workbook: A collection of worksheets
- Cell: Intersection of a row and column
3️⃣ What are Excel Functions?
Predefined formulas that perform specific calculations (e.g., SUM, AVERAGE, IF, VLOOKUP).
4️⃣ VLOOKUP vs. INDEX/MATCH?
- VLOOKUP: Searches for a value in the first column and returns a corresponding value.
- INDEX/MATCH: More flexible and overcomes VLOOKUP limitations, better for larger datasets.
5️⃣ What are Pivot Tables?
Interactive tables that summarize and analyze large datasets, allowing you to easily rearrange and filter data.
6️⃣ Conditional Formatting?
Applies formatting (e.g., colors, icons) to cells based on specific criteria, making it easier to identify trends and outliers.
7️⃣ How to remove duplicates?
Use the "Remove Duplicates" feature in the Data tab to eliminate redundant rows based on selected columns.
8️⃣ What are Excel Charts?
Visual representations of data (e.g., bar charts, line charts, pie charts) that help communicate trends and insights.
9️⃣ How to protect a worksheet?
Use the "Protect Sheet" feature in the Review tab to prevent unauthorized changes to the worksheet structure and content.
🔟 What are Macros?
Automated sequences of commands that can be recorded and replayed to perform repetitive tasks efficiently.
👍 React ❤️ if you found this helpful!
𝗜 𝗽𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗺𝘆 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗶𝗻 𝟳 𝗱𝗮𝘆𝘀.
Cracked it too.
No bootcamp. No paid course.
Just YouTube, docs, and my own notes written by hand.
https://www.linkedin.com/feed/update/urn:li:activity:7488076056520941568/
Most freshers write their resume before they even know what role they want.
That's backwards.
I broke down a simple framework, the 3-circle career sweet spot, why applying everywhere beats nothing but strategy beats applying everywhere, how your skills are more transferable than you think, and one networking move that actually gets replies.
Full post here 👇
https://www.linkedin.com/posts/rupnath-shaw_data-analyst-roadmap-ugcPost-7487717090469142528-KLem/
Save it if you're job hunting right now.
🚨 Most people waste months applying for remote jobs... on the wrong websites.
I analyzed the 8 biggest WFH job platforms and ranked them by real hiring chances, not popularity.
One platform gives you a much better shot at startup jobs.
Another has dollar-paying roles that most Indians ignore.
A few are simply wasting your time.
If you're planning to apply for remote jobs this week, read this first. It could save you hundreds of applications.
👇 Full ranking + reasons:
🔗 https://www.linkedin.com/feed/update/urn:li:activity:7487348656522575872/
If this helps, share it with someone who's actively job hunting.
🚀 Immediate Joiners Only: Data Engineer | Gurugram / Noida
We're looking for a Data Engineer with expertise in Python/PySpark, Snowflake, SQL, and cloud platforms (AWS/Azure/GCP).
📍 Location: Gurugram / Noida
🏢 Work Mode: Hybrid
Requirements:
✅ Experience building scalable ETL/ELT pipelines and data warehousing solutions
✅ Strong data modeling and cloud data engineering skills
🔴 Pharma/Healthcare domain experience is MANDATORY(profiles without Pharma/Healthcare experience will not be considered)
✅ Strong problem-solving and stakeholder management skills
📩 Interested candidates can share their resume at Charul.chhabra@axtria.com or send me a DM.
https://www.linkedin.com/posts/charul-chhabra-100ab5120_hiring-dataengineer-dataengineering-share-7485562178335305728-Fnky/
I Tested 100 AI Tools. These Are the Only 12 Worth Using in 2026.
Every week, a new AI tool promises to change your life. Almost all of them disappear from your workflow within days.
https://www.linkedin.com/feed/update/urn:li:share:7485546295512866816/
3 months back, I cleared the 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗔𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗲 (𝗣𝗟-𝟯𝟬𝟬) exam.
Let me be honest with you guys, it was not easy.
I still remember opening the exam portal, hands little bit sweaty, thinking "kya pata pass hoga ya nahi."
But I did it. And here is what actually helped me.
What the exam really tests:
→ 𝗗𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 (𝘀𝘁𝗮𝗿 𝘀𝗰𝗵𝗲𝗺𝗮, 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀)
→ 𝗗𝗔𝗫 (𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝘀, 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗲𝗱 𝗰𝗼𝗹𝘂𝗺𝗻𝘀, 𝘁𝗶𝗺𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲)
→ 𝗗𝗮𝘁𝗮 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆
→ 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗱𝗮𝘁𝗮
→ 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗮𝘀𝘀𝗲𝘁𝘀
https://www.linkedin.com/feed/update/urn:li:share:7485182817547698176/
𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿:
You have 2 minutes to solve this SQL query.
Find the employee(s) who have worked on the highest number of distinct projects.
Assume the table structure: employee_projects(employee_id, project_id)
𝗠𝗲: Challenge accepted! 💪
SELECT
employee_id,
total_projects
FROM (
SELECT
employee_id,
COUNT(DISTINCT project_id) AS total_projects,
DENSE_RANK() OVER (
ORDER BY COUNT(DISTINCT project_id) DESC
) AS rnk
FROM employee_projects
GROUP BY employee_id
) ranked
WHERE rnk = 1;
SELECT
employee_id,
COUNT(DISTINCT project_id) AS total_projects
FROM employee_projects
GROUP BY employee_id
HAVING COUNT(DISTINCT project_id) = (
SELECT MAX(project_count)
FROM (
SELECT
COUNT(DISTINCT project_id) AS project_count
FROM employee_projects
GROUP BY employee_id
) t
);
"𝗗𝗼 𝗜 𝗿𝗲𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱 𝗦𝗤𝗟 𝗮𝘀 𝗮 𝗳𝗿𝗲𝘀𝗵𝗲𝗿?"
I get this question every week in my DMs.
𝗦𝗵𝗼𝗿𝘁 𝗮𝗻𝘀𝘄𝗲𝗿: yes. Non-negotiable. Here's why.
SQL isn't just querying. It's 𝗳𝗼𝘂𝗿 𝗿𝗲𝗮𝗹 𝘀𝗸𝗶𝗹𝗹𝘀 in one:
https://www.linkedin.com/feed/update/urn:li:ugcPost:7484095948722458624/
𝟵𝟬% of your dashboards need just 𝘁𝗵𝗿𝗲𝗲 𝗰𝗵𝗮𝗿𝘁 𝘁𝘆𝗽𝗲𝘀.
https://www.linkedin.com/feed/update/urn:li:activity:7483728449409576960/
𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗗𝗔𝗫 has two types of context:
→ 𝗥𝗼𝘄 𝗰𝗼𝗻𝘁𝗲𝘅𝘁
→ 𝗙𝗶𝗹𝘁𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁
https://www.linkedin.com/feed/update/urn:li:share:7482994441742544901/
Every 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 that "feels slow and messy" has one root cause.
https://www.linkedin.com/feed/update/urn:li:share:7482649043878375424/
𝗜 𝗳𝗮𝗶𝗹𝗲𝗱 𝗮 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗼𝗻𝗲 𝗚𝗥𝗢𝗨𝗣 𝗕𝗬 𝗺𝗶𝘀𝘁𝗮𝗸𝗲.
https://www.linkedin.com/feed/update/urn:li:share:7482281819254542336/
Before I learned 𝘄𝗶𝗻𝗱𝗼𝘄 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀, my queries looked like this:
https://www.linkedin.com/feed/update/urn:li:activity:7481550338576216065/
