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DataSpoof

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

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📈 Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 15 658 subscribers, ranking 12 760 in the Education category and 25 869 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 658 subscribers.

According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -164 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 6.48%. 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 04 September, 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.

15 658
Subscribers
-824 hours
-537 days
-16430 days
Posts Archive
DataSpoof
15 658
What is stale features in Machine learning
What is stale features in Machine learning

DataSpoof
15 658

DataSpoof
15 658
AI For Data Engineers (1).pdf

DataSpoof
15 658
Dm us on whatsapp +9183182 38637 for training enquiry Batch starting from November

DataSpoof
15 658
GenAI Curriculum-5.pdf4.68 KB

DataSpoof
15 658
𝗠𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 (≈ 6 𝗥𝗼𝘂𝗻𝗱𝘀) Here are the stages I went through, plus what I gathered from others online: ⸻ 𝟭. 𝗥𝗲𝘀𝘂𝗺𝗲 𝗦𝗵𝗼𝗿𝘁𝗹𝗶𝘀𝘁𝗶𝗻𝗴 / 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿 𝗦𝗰𝗿𝗲𝗲𝗻 The recruiter reviews your resume to check alignment with technical skills (SQL, data pipelines, cloud tools like Azure, Spark etc.) and project experience. They may also ask about your background, motivation, and career goals. Strong communication and a clear resume really help. 𝟮. 𝗧𝘄𝗼 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗥𝗼𝘂𝗻𝗱𝘀 (1 Hour Each) These rounds dive deep into technical expertise. Common topics: • SQL performance & optimization • Data modelling • Pipeline & ETL design • Handling edge cases • Cloud services (Azure Data Factory, Databricks, Synapse) • DSA questions on Arrays & Linked Lists, Queue One round may involve system/architecture design (e.g., scalable data warehouse, streaming pipeline). Another may focus on coding or troubleshooting data pipelines. ⸻ 𝟯. 𝗛𝗶𝗿𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 𝗥𝗼𝘂𝗻𝗱 This round mixes technical and behavioural aspects. The manager checks for: • Problem-solving ability • Ownership • Stakeholder management 𝟰. 𝗔𝗔 (𝗔𝘀 𝗔𝗽𝗽𝗿𝗼𝗽𝗿𝗶𝗮𝘁𝗲) / 𝗠𝗮𝗻𝗮𝗴𝗲𝗿𝗶𝗮𝗹 𝗥𝗼𝘂𝗻𝗱 A senior-level evaluation focusing on leadership, collaboration, and cultural fit. You may face behavioural questions about handling ambiguity, conflict, mentoring, and driving impact across teams. They may also ask how you ensure scalability, quality, and reliability in data systems. 𝟱. 𝗛𝗥 𝗥𝗼𝘂𝗻𝗱: 𝗦𝗮𝗹𝗮𝗿𝘆 & 𝗢𝗳𝗳𝗲𝗿 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 Covers compensation (base, bonus, stocks), benefits, role level, and formalities like relocation or background checks.

DataSpoof
15 658
AI Agents - Illustrated Cookbook.pdf31.98 MB

DataSpoof
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Dm us on whatsapp +9183182 38637 for any queries related to syllabus and other details #datascience #generativeai #agenticai
Dm us on whatsapp +9183182 38637 for any queries related to syllabus and other details #datascience #generativeai #agenticai

DataSpoof
15 658
Do like and subscribe to our YouTube channel for more data science content https://youtu.be/hwENhPvvqgc?si=0qMsuYSoaCEA84OX

DataSpoof
15 658
Do like and subscribe to our YouTube channel for more data science content https://yt.openinapp.co/xyj5i

DataSpoof
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Big News in AI! You can now run 100B parameter models on your local CPU – no GPU needed! Microsoft has open-sourced their lightning-fast 1-bit LLM inference framework: bitnet.cpp Here’s why it’s a game-changer: ⚡ 6.17x faster inference ♻️ 82.2% less energy consumption on CPUs 🤖 Supports top-tier models like LLaMA 3, Falcon 3, and BitNet Run huge models locally, efficiently, and open-source! Welcome to the new era of AI inference.

DataSpoof
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For DataSpoof community, the first 50 user can enroll in free for our Python course https://www.udemy.com/course/master-pytho
For DataSpoof community, the first 50 user can enroll in free for our Python course https://www.udemy.com/course/master-python-programming-in-30-days-2025/?couponCode=7713A538E3AF13085308

DataSpoof
15 658
GenAI training reviews from federal deposit of Insurance corporation USA and senior director Gartner
+1
GenAI training reviews from federal deposit of Insurance corporation USA and senior director Gartner

DataSpoof
15 658
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