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

India19 817 Technologies & Applications6 226...

📈 Analytical overview of Telegram channel Data Careers Resources & Job Updates | iamrupnath

Channel Data Careers Resources & Job Updates | iamrupnath (@codewithrup) in the English language segment is an active participant. Currently, the community unites 20 615 subscribers, ranking 6 226 in the Technologies & Applications category and 19 817 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 20 615 subscribers.

According to the latest data from 30 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -370 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.89%. Within the first 24 hours after publication, content typically collects 1.11% reactions from the total number of subscribers.
Post reach: On average, each post receives 802 views. Within the first day, a publication typically gains 228 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
Thematic interests: Content is focused on key topics such as apply, qualification, bachelor, degree, engineer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“👉 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”

Thanks to the high frequency of updates (latest data received on 01 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

20 615

Subscribers

-824 hours

-957 days

-37030 days

802

Post views

~ 22824 hours

~ 31748 hours

3.89%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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Use my uploaded image as the exact identity and facial reference. Create a realistic cinematic photo of me sitting in the driver's seat of a modern car, facing the camera with a calm, confident expression. Keep my facial features, hairstyle, skin tone, and overall appearance recognizable and natural. Match the reference scene: close-up framing from inside the car, visible steering wheel at the bottom, beige leather seat/interior, dark tinted surroundings, strong natural sunlight and realistic shadows. Use a slightly low front-facing camera angle, authentic photography, sharp facial details, subtle cinematic contrast, and realistic skin texture. Output must be exactly 3:4 portrait. No text, Ul elements, logos, watermarks, icons, or extra people. drive link : https://drive.google.com/file/d/1tDt-DYB2jrddHIoaaMqIAUqWrmxYKae4/view?usp=sharing

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https://www.linkedin.com/posts/rupnath-shaw_dataanalytics-jobsearch-fresherjobs-share-7509456876636454913-Sunn/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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https://www.linkedin.com/posts/rupnath-shaw_i-opened-excel-in-college-and-thought-the-share-7509096999258894336-aUnV/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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https://www.linkedin.com/posts/rupnath-shaw_dataanalyst-dataanalytics-dataanalystroadmap-share-7508767579604144129-I4l3/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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https://www.linkedin.com/feed/update/urn:li:activity:7508011331376279554/

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https://www.linkedin.com/feed/update/urn:li:activity:7507652636784046080/

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https://www.linkedin.com/feed/update/urn:li:activity:7506213271537061888/

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https://www.linkedin.com/feed/update/urn:li:activity:7505840670775934976/

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https://www.linkedin.com/feed/update/urn:li:activity:7505112478733963265/

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🎬🔥 10 AI VIDEO TOOLS YOU SHOULD KNOW! Still using expensive editing software for everything? 👀 These AI tools can save you hours. 1️⃣ Luma Dream Machine – Generate cinematic videos from text or images. 2️⃣ HeyGen – Create AI avatar videos from your script. 3️⃣ InVideo AI – Turn a simple prompt into a complete video. 4️⃣ VEED AI – Generate and edit videos with AI. 5️⃣ Descript – Edit videos by editing the transcript. 6️⃣ Klap – Turn long videos into Shorts/Reels automatically. 7️⃣ Vidnoz AI – Create AI presenter and explainer videos. 8️⃣ Adobe Express – Quickly create social videos with templates and AI tools. 9️⃣ Hailuo AI – Generate creative AI video clips from prompts. 🔟 Kling AI – Create realistic text-to-video and image-to-video clips. 📌 Save this post for your next video project. 📤 Share this with a creator who needs these tools! 🚀

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TCS wala Data Analyst aur Swiggy wale Data Analyst mein kya farq hai? Sirf salary nahi. https://www.linkedin.com/feed/update/urn:li:activity:7504379621736579072/

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https://www.linkedin.com/posts/rupnath-shaw_indiantechhiring-noticeperiod-jobsearch-activity-7504115343142064129-SE2V?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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https://www.linkedin.com/posts/rupnath-shaw_most-freshers-open-power-bi-before-asking-share-7503304997116203008-77Xx/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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🎯 DATA ANALYST INTERVIEW PREP If you're a fresher, these are the questions you should prepare before applying for Data Analyst roles. 📊 EXCEL • What is VLOOKUP vs XLOOKUP? • What is a Pivot Table? • How do you remove duplicates? • How do you use IF, SUMIF and COUNTIF? 🗄️ SQL • Difference between WHERE and HAVING? • INNER JOIN vs LEFT JOIN? • What is GROUP BY? • Difference between ROW_NUMBER and RANK? • How do you find duplicate records? 📈 POWER BI • What is the difference between Power Query and DAX? • What is a Measure? • What is a Calculated Column? • What is Data Modeling? • What is a Star Schema? 💼 BUSINESS QUESTIONS • How would you analyse declining sales? • What KPIs would you track? • How do you find insights from a dataset? • How would you explain your dashboard to a non-technical manager? 📌 Don't try to memorise answers. Practice explaining each answer with a real project from your portfolio. 🎯 Best preparation strategy: Learn → Practice → Build Projects → Explain Your Work 💼 Data Analyst Jobs 📚 Free Learning Resources 🎯 Interview Preparation

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Hey 👋 Just posted something on LinkedIn that I think will hit close to home for anyone learning Data Analytics. It's about that gap nobody talks about — between finishing a course and surviving your first real project. 🔗 Read it here and drop a comment if it resonates: https://www.linkedin.com/feed/update/urn:li:activity:7501494799334744064/ Would mean a lot if you liked, commented, or shared it. Takes 10 seconds. 🙏

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