现已上线！2025 年 Telegram 研究 — 年度关键洞察 
DataSpoof
前往频道在 Telegram
Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data
显示更多📈 Telegram 频道 DataSpoof 的分析概览
频道 DataSpoof (@dataspoof) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 16 139 名订阅者，在 教育 类别中位列第 12 546，并在 印度 地区排名第 26 595 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 16 139 名订阅者。
根据 21 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -143，过去 24 小时变化为 -2，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 7.89%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 主题关注点： 内容集中在 api, llm, pipeline, +9183182, engineer 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Data Science
https://dataspoof4081.graphy.com/membership
Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
Big data”
凭借高频更新（最新数据采集于 22 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 教育 类别中的关键影响点。
16 139
订阅者
-224 小时
-327 天
-14330 天
帖子存档
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
Complete Data Science end to end training
Duration- 8 months
For curriculum and fees structure
https://www.dataspoof.info/training/
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
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.
