
Naïlé Titah
Data science is one of LinkedIn's busiest classrooms: we count 16,875 data science posts in the last 12 months in our dataset alone. Almost all of them sink. The typical data science post earns 27 likes.
So who actually moves the needle when they talk about data, models and pipelines? At MagicPost, we took the 189 creators in our dataset who post about data science consistently (at least 10 data science posts in the last 12 months, minimum 5,000 followers) and ranked them by median likes on their data science posts alone. Not their overall fame: what happens, today, when they hit publish on this specific topic. Number twenty earns 13 times the typical data science post. Number one earns 247 times it.
Two numbers you will not find anywhere else sit in each profile below: the share of feed (is data science their whole identity or a guest appearance?) and the vs-overall figure: whether their data science posts earn more or less than their own usual median. The pattern that emerges: the biggest premiums belong to people for whom data science is a sideline.
The full board first, then the countdown:

TL;DR: We ranked the top 20 LinkedIn creators on Data Science by one number nobody else publishes: median likes on their data science posts alone, over 12 months and 189 creators. Andrew Ng leads with 6,663 median likes per data science post, 247x what the typical data science post earns (27 likes).
#20 · Milan Jovanović, 348 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
265k | 348 | 22 | 5% | -11% | 0.13% |
Milan Jovanović is a .NET and software architecture creator, and data science is only 5% of his feed. Those rare posts earn 11% less than his overall median: his audience came for backend engineering, and the data ones ride along rather than lead.
"Your foreach loop might be killing your EF Core performance." His most liked data science post of the year: 1,259 likes. Read it
#19 · Venkata Naga Sai Kumar Bysani, 356 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
243k | 356 | 284 | 61% | +11% | 0.15% |
Venkata Naga Sai Kumar Bysani is a healthcare data analyst and the volume record of this ranking: 284 data science posts in 12 months, more than any other creator on the list. Data science is 61% of his feed, and at that pace it still earns an 11% premium over his overall median. His best post of the year is a cheat-sheet, the workhorse format of the category.
"These Python commands cover 90% of data cleaning tasks you'll ever need" 4,818 likes. Read it
#18 · Zach Wilson, 363 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
520k | 363 | 63 | 23% | +35% | 0.07% |
Zach Wilson, founder of DataExpert.io, runs one of the largest data-engineering followings on the platform. Nearly a quarter of his feed is data science, and those posts earn a 35% premium over his overall median. His best post of the year is a contrarian forecast about the industry's biggest platform.
"Databricks is going to win 'data' the same way that Meta won 'social media'" 1,609 likes. Read it
#17 · Julien Chaumond, 369 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
242k | 369 | 10 | 8% | -36% | 0.15% |
Julien Chaumond is the CTO of Hugging Face, the home of open-source machine learning. Data science is only 8% of his feed, and those posts earn 36% less than his overall median: the heavyweight releases that drive his numbers are not the data science ones. He posted the category just 10 times in 12 months, the joint-lowest volume of this top 20.
"We got Claude Code to train an open LLM" His most liked data science post of the year: 9,578 likes. Read it
#16 · Allie K. Miller, 379 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
1.6M | 379 | 10 | 4% | -24% | 0.02% |
Allie K. Miller owns the largest audience of this ranking at 1.6 million followers, an AI business advisor and former Amazon and IBM leader. Data science is just 4% of her feed, the lowest share of the top 20, and those posts earn 24% less than her overall median. The scale of her audience is what carries the median, not the topic.
"Anthropic just released their Economic Index and there's one finding I can't stop thinking about." 4,211 likes. Read it
#15 · Dawn Choo, 397 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
197k | 397 | 108 | 52% | +72% | 0.20% |
Dawn Choo, a data scientist formerly at Meta and Amazon, runs one of the most dedicated feeds in this top 20: 52% data science, and those posts earn a 72% premium over her overall median, the biggest in the ranking. Her card does show a cooling, from a 641 median in 2025 to 320 in 2026. Her best post of the year is a step-by-step analysis checklist.
"Your model is useless, if your data is a mess." 2,424 likes. Read it
#14 · Shalini Goyal, 423 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
119k | 423 | 40 | 17% | +12% | 0.35% |
Shalini Goyal is an Executive Director at JP Morgan and a former Amazon engineer. Data science is 17% of her feed, with a 12% premium over her overall median. Her best post of the year explains database indexing, the kind of fundamentals teaching that travels well on this topic.
"Indexing is one of the most important performance techniques in databases, yet it's also one of the most misunderstood." 1,002 likes. Read it
#13 · Bhanu Singh Yede, 429 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
23k | 429 | 16 | 29% | +51% | 1.86% |
Bhanu Singh Yede is an AI and tech educator from India with the smallest audience of this top 20, and it converts harder than anyone's: a 1.86% engagement rate, the highest of the ranking. Data science is 29% of his feed, with a 51% premium over his overall median. His best post of the year is a resource drop for analytics learners.
"Excel Mastery for Data Analytics, Complete Guide!" 825 likes. Read it
#12 · Andreas Horn, 440 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
177k | 440 | 33 | 10% | +0% | 0.25% |
Andreas Horn is the Head of AIOps at IBM, one of two creators based in Germany in this top 20. Data science is 10% of his feed, and those posts perform exactly in line with his overall median. His card shows a recent dip, from a 445 median in 2025 to 238 across his 2026 posts so far. His best post argues that the best AI strategy is a data strategy.
"It's fixing your data." 1,839 likes. Read it
#11 · Brij kishore Pandey, 443 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
613k | 443 | 46 | 11% | +1% | 0.07% |
Brij kishore Pandey is a GenAI architect with one of the larger followings on this list. Data science is 11% of his feed and earns a 1% premium, essentially flat against his overall median. His card shows a cooling year, from a 680 median in 2025 to 370 across his 2026 posts. His best post of the year is a technical explainer that beat his usual numbers many times over.
"If you're still feeding your LLMs with plain JSON, you're leaving tokens, speed and budget on the table." 10,284 likes. Read it
#10 · Neo Kim, 467 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
298k | 467 | 19 | 5% | -57% | 0.16% |
Neo Kim teaches system design to a half-million-strong audience. Data science is only 5% of his feed, and those posts earn 57% less than his overall median, the steepest discount of the top 20: his system-design content is what his readers reward, and the data posts trail far behind it. His best data science post is still a fundamentals explainer that cleared 5,000 likes.
"If you want to learn how Big O works, read this:" 5,011 likes. Read it
#9 · Stanislav Beliaev, 488 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
29k | 488 | 11 | 12% | +52% | 1.70% |
Stanislav Beliaev, co-founder and CTO at GetFluently and a former Nvidia engineer, runs the second-hardest-converting feed of this top 20 at a 1.70% engagement rate. Data science is 12% of his feed, with a 52% premium over his overall median. His best post of the year is a free-learning list.
"YouTube is free university for AI/ML Engineers." 2,395 likes. Read it
#8 · Nate Herkelman, 499 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
34k | 499 | 11 | 10% | +16% | 1.47% |
Nate Herkelman is the founder of an AI automation company, building agents and workflows for a small but highly engaged audience: a 1.47% engagement rate on 34k followers. Data science is 10% of his feed, with a 16% premium over his overall median, and his card shows a rising trajectory from a 403 median in 2025. His best post of the year is a build-in-public reflection.
"I've built 200+ AI agents in n8n, if I had to start over in 2026, here's what I'd do differently..." 1,114 likes. Read it
#7 · Vishakha Sadhwani, 499 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
92k | 499 | 11 | 5% | -32% | 0.54% |
Vishakha Sadhwani is a cloud architect at Google and a former AWS engineer who teaches DevOps and cloud careers. Data science is only 5% of her feed, and those posts earn 32% less than her overall median: the cloud and DevOps content is what her audience follows her for. Her best post of the year bridges the two worlds.
"If I were looking to enter MLOps right now as a DevOps engineer, here's exactly how I'd approach it." 1,031 likes. Read it
#6 · Pratiek Nagda, 506 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
43k | 506 | 22 | 22% | +28% | 1.17% |
Pratiek Nagda helps students and professionals land data jobs, and his comment section is the busiest in this entire dataset: a 506 median in likes, but 1,437 median comments on his data science posts. Data science is 22% of his feed, with a 28% premium over his overall median. His best post of the year is an internship listing that turned into a flood of applications.
"Blinkit Internship: Data Analyst Role" 1,294 likes. Read it
#5 · Ethan Mollick, 541 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
373k | 541 | 36 | 6% | +25% | 0.14% |
Ethan Mollick, Wharton professor and author of Co-Intelligence, is one of the most-read AI voices on LinkedIn. Data science is just 6% of his feed, yet those posts earn a 25% premium over his overall median, and his yearly median has climbed from 400 in 2024 to 561 in 2025. His best data science post is a hands-on observation about tooling.
"Claude in Excel is really impressive." 2,904 likes. Read it
#4 · Ruben Hassid, 739 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
832k | 739 | 10 | 2% | -9% | 0.09% |
Ruben Hassid is one of the most followed AI creators on the platform (we profiled him in his data biography). Data science is only 2% of his feed, the joint-lowest share of this top 20, and he posted it just 10 times in 12 months. Those posts earn 9% less than his overall median, and his card shows a cooling from a 941 median in 2025. His best data science post is a tool walkthrough.
"This AI is the 'ChatGPT to find people'." 3,016 likes. Read it
#3 · Pascal Bornet, 1,441 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
1.5M | 1,441 | 12 | 2% | +7% | 0.10% |
Pascal Bornet is an AI and automation author with one of the largest followings of this ranking. Data science is just 2% of his feed, the joint-lowest share of the top 20, yet those rare posts earn a 7% premium over his overall median. His best data science post of the year makes the case that data, not models, is the real bottleneck.
"The brutal truth about AI? It's not about intelligence. It's about input." 2,366 likes. Read it
#2 · Andrew Bolis, 1,445 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
234k | 1,445 | 14 | 5% | +45% | 0.62% |
Andrew Bolis is an AI and marketing consultant, and his data backs the tourist effect: data science is only 5% of his feed, yet those posts earn a 45% premium over his overall median, on the strongest engagement rate of the top 3. His best post of the year is the free-resources list, the format that defines high-performing data content on LinkedIn.
"You can now learn AI without spending money." 2,000 likes. Read it
#1 · Andrew Ng, 6,663 median likes per data science post

Followers | Median likes (data science posts) | Data science posts (12 mo) | Share of feed | vs overall median | Engagement rate |
2.5M | 6,663 | 14 | 15% | +61% | 0.27% |
Andrew Ng, founder of DeepLearning.AI and the man who taught half the industry its first machine-learning course, does not just top this ranking: he laps it. His median data science post earns 6,663 likes, 4.6 times the #2 and 247 times the typical data science post on LinkedIn. Data science is 15% of his feed, with a 61% premium over his own overall median, on just 14 posts. He also tops our Software Development ranking and ranks #5 in our AI ranking. His best post of the year ships a tool.
"Releasing a new 'Agentic Reviewer' for research papers. I started coding this as a weekend project, and Yixing J. made it much better." His most liked data science post of the year: 17,628 likes. Read it
Where do these cards come from? Every figure on this page runs on MagicPost's LinkedIn analytics: median engagement per theme, share of feed, theme premiums, trajectories, across 189 data science creators and 16,875 data science posts. It works on your profile too, including a side-by-side with anyone on this list.
Just missed the cut
Five names land right behind, and they say a lot about how this ranking works. Muhammad Ayan (#21, 340 median likes per data science post), José Siles (#22, 333) and Aurimas Griciūnas (#23, 310) miss by a handful of likes of median. Both Ayan and Siles publish at high volume (140 data science posts in Siles's case), which a median punishes: every additional post has to beat your typical one. Then come Alex Freberg (#24, 308) and Ali Heydari (#25, 306). Publish less, hit harder, and any of the five enters the top 20 at the next quarterly refresh.
The efficiency champions (pound for pound)
Raw likes favor big audiences, so here is the other cut: engagement rate on data science posts, median likes divided by followers (minimum 20k followers). The list changes completely:
Creator | Followers | Engagement rate | Median likes (data science) |
23k | 1.86% | 429 | |
29k | 1.70% | 488 | |
34k | 1.47% | 499 | |
43k | 1.17% | 506 | |
28k | 0.81% | 224 |
The champion is Bhanu Singh Yede: roughly one follower in 54 likes every data science post he writes, ahead of Stanislav Beliaev on an audience a quarter larger. Every name here also clears the absolute top 20 except Favour Ibude, proof that on this topic, a small dedicated following converts harder than a famous one.
The volume game (total data science engagement)
One more cut: not the typical post, but the total likes generated on data science posts over 12 months. This is where the high-frequency voices get their due:
Creator | Total likes on data science (12 mo) | Data science posts |
166,553 | 284 | |
105,529 | 14 | |
84,309 | 140 | |
59,105 | 126 | |
58,796 | 108 | |
46,222 | 226 | |
43,139 | 46 | |
40,349 | 154 |
Venkata Naga Sai Kumar Bysani generates the most total engagement with 284 posts; Andrew Ng reaches second place with just 14. Two ways to win the same game: relentless volume, or rare posts that each land hard.
The conversation champion
The ratio of comments to likes, the cut nobody publishes. The data science record belongs to Pratiek Nagda: 1,437 median comments against 506 median likes on his data science posts, nearly three comments per like when the platform norm is one per ten. His career-and-internship posts turn the comment section into a job board, and the engagement follows.
The residents and the tourists
Of the 189 creators who post data science consistently, only 49 dedicate more than half their feed to it. This top 20 splits the same way: residents like Venkata Naga Sai Kumar Bysani (61% of his feed) and Dawn Choo (52%), and tourists like Pascal Bornet and Ruben Hassid (2% each) whose rare data science posts still draw their audience.
The data behind that tourist premium is consistent: an audience that did not sign up for data science still rewards a clear explainer or a free-resources list, while full-time data feeds compete with themselves. Andrew Ng (+61%), Andrew Bolis (+45%) and Dawn Choo (+72%) all earn more on this topic than their own usual median, and only Choo is a resident. If you write about data science occasionally, you are playing the easier game.
Two related studies while you are here: who dominates LinkedIn country by country (United States, India, Germany, the full series), and the topic-by-topic siblings of this page (software development, AI). And if your plan includes showing up in these creators' comments, an engagement feed makes that a daily five-minute habit.
Study them, then study yourself. With MagicPost you can analyze any data science creator the way we just did (median engagement by theme, share of feed, premiums, trajectory) and benchmark your own profile. The data on this page is the product.
Where this data comes from
Everything in this article is MagicPost's own research, not a copied list. MagicPost analyzed 16,875 data-science-themed LinkedIn posts from the last 12 months, kept the 189 creators with at least 10 data science posts and 5,000 followers (deleted posts excluded, company pages excluded), and ranked them by median likes on their data science posts. We also computed each creator's share of feed, their data science premium versus their own overall median, engagement rates and conversation ratios. Rankings refresh as the data does; figures dated June 2026. No one paid to be on this list, and no one can: it is arithmetic.
Häufige Fragen
Who is the top data science creator on LinkedIn in 2026?
By real impact (median likes on data science posts over the last 12 months), Andrew Ng: 6,663 median likes per data science post, 4.6 times the number two (Andrew Bolis) and 247 times the typical data science post on LinkedIn.
How is this ranking calculated?
Median likes on each creator's data-science-themed posts over the last 12 months, among the 189 creators MagicPost analyzes with at least 10 data science posts and 5,000 followers. Median, not average, so one viral post cannot buy a spot, and only data science posts count, so general fame cannot either.
Does posting about data science boost engagement on LinkedIn?
For the tourists, yes: creators like Andrew Bolis (+45%) and Dawn Choo (+72%) earn more on their data science posts than their own overall median, with the biggest premiums going to people for whom the topic is a sideline. But the typical data science post still earns just 27 likes: the topic rewards clarity, not participation.
Who are the most efficient data science creators?
By engagement rate on data science posts (median likes / followers, minimum 20k followers): Bhanu Singh Yede (1.86%), just ahead of Stanislav Beliaev (1.70%), Nate Herkelman (1.47%) and Pratiek Nagda (1.17%). Small, dedicated audiences convert hardest.
Are the top data science voices full-time data creators?
Mostly not. Only 49 of the 189 eligible creators dedicate more than half their feed to data science, and the top 20 is full of AI leaders, educators and engineers for whom data is one topic among many. The most dedicated residents in the top 20 are Venkata Naga Sai Kumar Bysani (61%) and Dawn Choo (52%).
Which countries dominate data science content on LinkedIn?
The top 20 is led by the United States, with India (Bhanu Singh Yede, Pratiek Nagda) and Germany (Andreas Horn, Neo Kim) placing two each, and the United Kingdom and Serbia one each. Country-by-country rankings are in our country series.
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