DataSpoof

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Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

India26 595 Education12 546...

📈 Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 139 subscribers, ranking 12 546 in the Education category and 26 595 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 139 subscribers.

According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -143 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.89%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as api, llm, pipeline, +9183182, engineer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data”

Thanks to the high frequency of updates (latest data received on 22 June, 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 Education category.

16 139

Subscribers

-224 hours

-327 days

-14330 days

1 273

Post views

No data24 hours

No data48 hours

7.89%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

16 139

https://www.dataspoof.info/post/various-types-of-s3-commands-you-can-use-in-aws-cloudshell/

16 139

How to copy files within folder in AWS S3 https://www.dataspoof.info/post/how-to-copy-files-within-folder-in-aws-s3/

16 139

Andrew karpathy launched its llm course https://github.com/karpathy/LLM101n

16 139

https://www.dataspoof.info/post/how-to-create-upload-and-delete-a-file-in-s3-bucket/

16 139

Complete Data Science end to end training Duration- 8 months For curriculum and fees structure https://www.dataspoof.info/training/

16 139

Generative AI in Search and Recommendations.pdf2.06 MB

16 139

Introduction_to_apache_kafka.pdf10.15 KB

16 139

Gpt4o

16 139

Education is shifting. Teachers beware. Kids are going to get great tutoring going forward. The future is so, so bright. #OpenAI #gpt4o #ai #gpt #llms

16 139

Large Language Models _ _ CHEAT SHEET.pdf1.31 MB

16 139

Git for Quants.pdf0.90 KB

16 139

Cicd notes

16 139

CICD for Freshers_Experienced .pdf4.16 MB

16 139

The basics of reinforcement learning in simple words https://www.dataspoof.info/post/basics-of-reinforcement-learning/

16 139

Reflecting on a memorable interview experience with Kotak Mahindra Bank for the SDE-2 (Data Engineering) role! 🌟 It comprised four stimulating rounds, featuring two bar raiser and two internal rounds. Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion. Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines. Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance. Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.

16 139

𝗣𝗪𝗖 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗗𝗮𝘁𝗮 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫) ⭐→ The whole interview process had 3 rounds of 1 hour each. 🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python. There were questions like the following: → Optimisation techniques used in projects; Issues faced in the project; Hadoop questions. 🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round. I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like: → Spark job process; Optimizations of spark; Sqoop interview questions. After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered. 🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like: → Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.

16 139

Jenkins Basics for freshers_experienced.pdf4.77 MB

16 139