Нескучный Data Science

📈 Analytical overview of Telegram channel Нескучный Data Science

Channel Нескучный Data Science (@not_boring_ds) in the Russian language segment is an active participant. Currently, the community unites 12 052 subscribers, ranking 3 221 in the Career category and 52 947 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 052 subscribers.

According to the latest data from 06 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 6 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 27.47%. Within the first 24 hours after publication, content typically collects 10.27% reactions from the total number of subscribers.
• Post reach: On average, each post receives 3 310 views. Within the first day, a publication typically gains 1 237 views.
• Reactions and interaction: The audience actively supports content: the average number of reactions per post is 66.
• Thematic interests: Content is focused on key topics such as лаборатория, automl, llm, продакт, стажировка.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Рассказываю как применять AI на практике ex. Managing AI Director at Sber, 👨‍💻ex. Head of ML LAB at Alfa https://www.linkedin.com/in/smirnov-evgeny/ По вопросам сотрудничества @datascience_assist Регистрации в Роскомнадзор № 5278866657”

Thanks to the high frequency of updates (latest data received on 07 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 Career category.