What ad formats are supported on Data Science Projects?

Native post, pinned post and repost are the most common formats. The exact list depends on what the Data Science Projects admin offers — see the full catalog in the Adstail booking flow.

How many subscribers does Data Science Projects have?

Data Science Projects currently has about 55.4K subscribers. See the stats block above for the latest update timestamp, engagement rate, and weekly reach.

Is Data Science Projects verified on Adstail?

Adstail tracks public statistics for Data Science Projects automatically. A manual verification badge for channel admins is rolling out — the freshness timestamp in the stats block reflects the most recent data sync.

How fast can I book an ad placement on Data Science Projects?

Booking time depends on the Data Science Projects admin's response. Typical turnaround is 24–48 hours from request to confirmation when booking via the Adstail dashboard.

What is the audience of Data Science Projects?

Data Science Projects primarily targets Education, 🇮🇳 India, English. For a detailed audience breakdown (age, gender, geo split) request the audit report from the Adstail advertiser cabinet.

Data Science Projects

@pythonspecialist

Education

55.4Ksubscribers🇮🇳 IndiaEnglish

Advertise on this channel

Buy ads

Escrow-protected deal — pay only after the ad is published.

Open Data Science Projects on Telegram

Jump straight to @pythonspecialist on Telegram. Adstail opens it in a new tab so your stats session stays intact.

Open @pythonspecialist on Telegram

Perfect channel for Data Scientists Learn Python, AI, R, Machine Learning, Data Science and many more Admin: @love_data

Advertising in this channel

Formats, price ranges and booking terms for running ads in Data Science Projects.

Available ad formats

1h in top · 1 day in feedup to $100
2h in top · 2 days in feedup to $100
3h in top · 3 days in feedup to $100

Prices are shown as ranges. Open the exact rate for this channel in the Adstail dashboard.

Open exact price

Booking conditions

Placement window
Each format states how long the post stays in the channel's top and in the feed before it rotates out.
Creative requirements
Submit your text and media when you book. Adstail checks the creative against the channel's content rules before it goes live.
Cancellation
You can cancel a booking before the channel admin confirms it. Funds stay in escrow until the ad is published.

Guarantees & refund policy

Escrow-protected payments
Your payment is held in escrow and released to the channel only after the ad is published as agreed.
Refund on no-show
If the placement is not published or doesn't match what was booked, you can request a refund from escrow.
Dispute resolution
Adstail mediates disputes between advertisers and channels and decides how the escrowed funds are settled.

Why advertise through Adstail

Secured by escrow
Every deal is protected — your budget is only released when the ad actually runs.
No commission
Book placements at the channel's price. Adstail doesn't add a buyer-side fee on top.
Advertisers come back
A large share of advertisers run repeat campaigns through Adstail after their first placement.
Fast go-live
From confirmed booking to a published post is typically a matter of hours, not days.

Subscribers

55.4K+0.1%

vs last week

Engagement Rate

0.3%

Reach (week avg) ÷ subscribers

Reach (week avg)

153+22.2%

Average for the past 7 days

Posts / month

8 this week

Comments / month

Average comments per month

Reactions / month

Average reactions per month

Trends

How subscribers, reach and posts change over time.

Subscribers

Reach

Posts

Latest post

@pythonspecialist2026-07-12T19:32:57Z652 views4 reactionsregular

✅ Step-by-Step Guide to Create a Data Science Portfolio 🎯📊 ✅ 1️⃣ Pick Your Focus Area Decide what kind of data scientist you want to be: • Data Analyst → Excel, SQL, Power BI/Tableau 📈 • Machine Learning → Python, Scikit-learn, TensorFlow 🧠 • Data Engineer → Python, Spark, Airflow, Cloud ⚙️ • Full-stack DS → Mix of analysis + ML + deployment 🧑‍💻 ✅ 2️⃣ Plan Your Portfolio Sections Your portfolio should include: • Home Page – Quick intro about you 👋 • About Me – Education, tools, skills 📝 • Projects – With code, visuals & explanations 📊 • Blog (optional) – Share insights & tutorials ✍️ • Contact – Email, LinkedIn, GitHub, etc. ✉️ ✅ 3️⃣ Build the Portfolio Website Options to build: • Use Jupyter Notebook + GitHub Pages 🌐 • Create with Streamlit or Gradio (for interactive apps) ✨ • Full site: HTML/CSS or React + deploy on Netlify/Vercel 🚀 ✅ 4️⃣ Add 2–4 Quality Projects Project ideas: • EDA on real-world datasets 🔍 • Machine learning prediction model 🔮 • NLP app (e.g., sentiment analysis) 💬 • Dashboard in Power BI/Tableau 📈 • Time series forecasting ⏳ Each project should include: • Problem statement ❓ • Dataset source 📁 • Visualizations 📊 • Model performance ✅ • GitHub repo + live app link (if any) 🔗 • Brief write-up or blog 📄 ✅ 5️⃣ Showcase on GitHub • Create clean repos with README files 🌟 • Add visuals, summaries, and instructions 📸 • Use Jupyter notebooks or Markdown ✏️ ✅ 6️⃣ Deploy and Share • Use Streamlit Cloud, Hugging Face, or Netlify 🚀 • Share on LinkedIn & Kaggle 🤝 • Use Medium/Hashnode for blogs 📝 • Create a resume link to your portfolio 🔗 💡 Pro Tips: • Focus on storytelling: Why the project matters 📖 • Show your thought process, not just code 🤔 • Keep UI simple and clean ✨ • Add certifications and tools logos if needed 🏅 • Keep your portfolio updated every 2–3 months 🔄 🎯 Goal: When someone views your site, they should instantly see your skills, your projects, and your ability to solve real-world data problems. 💬 Tap ❤️ if this helped you!

https://t.me/pythonspecialist/1484

Frequently Asked Questions

Quick answers about advertising on Data Science Projects.

Pricing depends on placement type, channel performance, and current demand. Sign in to the Adstail dashboard to request a personal quote — placement on Data Science Projects is booked through verified channel admins.