1
When it comes to data analysis, knowing when to use Pandas or SQL can make all the difference! If you’re working with data, you’ve probably encountered both Pandas and SQL at some point.
Home / LinkedIn creators / Venkata Naga Sai Kumar Bysani
Venkata Naga Sai Kumar Bysani
AI Engineer | 350K+ Data Community | LinkedIn Learning Instructor | 3+ years in AI, Predictive Analytics & Experimentation | Featured on Times Square, Fox, NBC
We read 242 of their posts. Here is what they actually do.
Personal StoriesCasualIdentity hooksProfessionals
linkedin.com/in/saibysani18 ↗265KFollowers
2.1Posts / week
626Avg likes
408Median likes
78Avg comments
4.5K likesBest post
Engagement over time
Average likes per post, by month.
2.4likes / 1K followers
That puts them in the 45th percentile of the 1,374 creators we track in the 100K to 1M follower band. Reach is not the same as resonance, and this is the ratio that separates them.
2025-04Average likes per month2026-09
Their hooks, word for word
The opening line of their best-performing posts. This is what stops the scroll.
- When it comes to data analysis, knowing when to use Pandas or SQL can make all the difference!4.5K likes
- If I had to learn SQL from scratch in 2025, this is the only roadmap I’d follow.4.5K likes
- Every data professional forgets which statistical test to use. Here's the fix.3.9K likes
- Never ignore SQL or you will be ignored!🙂3.7K likes
- I met Jensen Huang last week at NVIDIA GTC. Still processing that.3.2K likes
- Data Analyst 10 years ago:3K likes
Content pillars
What they post about, with a line from a real post as evidence.
- Technical Cheat Sheets & Comparisons
Pandas vs SQL cheat sheet drove 4,502 likes and 196 comments.
- Career Roadmaps & Learning Guides
SQL roadmap from scratch gained 4,495 likes and 211 comments.
- Curated Engineering & AI Resources
15 data analytics case studies list earned 2,368 likes and 106 comments.
Signature moves and voice
The repeatable moves that show up across their best posts.
- Hook with high-utility decision trees or cheat sheets for quick reference.
- Structure lists using sub-arrows to break down dense technical taxonomies.
- Contrast legacy tooling stacks against modern workflows to highlight skill shifts.
Tone of voiceAuthoritative, educational, and structured, delivering practical technical frameworks and actionable industry insights with high utility.
What works for them
Patterns that separate their top posts from the rest.
- Side-by-side syntax and tool comparisons drive peak viral reach across data practitioners.
- Step-by-step career roadmaps generate significantly higher comment volume and community saves.
- Curated resource roundups consistently outperform abstract industry opinions in sustained engagement.
When they post
Every post, grouped by day of week.
Mon
688
Tue
649
Wed
565
Thu
517
Fri
784
Sat
658
Sun
493
Posts publishedAverage likes
Best day is Friday at 784 average likes. Sunday is their weakest at 493.
What format works
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Image | 173 | 742 | |
| Carousel | 15 | 455 | |
| Text only | 41 | 327 | |
| Video | 13 | 216 |
Format fingerprint
How their posts are built, measured across every post we analysed.
Median length1,849 chars
Line breaksHigh
Bullet pointsNone
EmojiLow
HashtagsLow
Outbound linksLow
Reading levelGrade 4
Promo intensity0/10
Steal this
Moves you can apply to your own posts this week.
- Build a side-by-side technical comparison between two popular tools in your niche.
- Package career transition steps into a numbered roadmap highlighting essential skills.
- Curate high-impact real-world case studies with direct links to operational architectures.
Best-performing posts
Ranked by likes, across everything we analysed.
2
If I had to learn SQL from scratch in 2025, this is the only roadmap I’d follow. (SQL is the most in-demand skill for data roles in 2025.) Here’s why it matters so much: ✔️ 75 % of data job listings on LinkedIn require SQL
3
Every data professional forgets which statistical test to use. Here's the fix. (Bookmark it. Seriously.) I’ve been there: ↳ Staring at two datasets wondering which test to run ↳ Googling "t-test vs ANOVA" for the 10th time ↳ Second-guessing myself in an interview
4
Never ignore SQL or you will be ignored!🙂 No matter if you're a Data Scientist, Data Engineer, or Data Analyst, we all answer to the king... SQL. If you’re diving into data roles, knowing SQL isn’t just an added skill—it’s essential.
5
I met Jensen Huang last week at NVIDIA GTC. Still processing that. Connected with followers I'd only known through comments. Met founders building things I want to be part of. This one hit different. 5 Takeaways That Will Shape the Next 5 Years: 1.
Similar creators
Comparable follower counts, analysed the same way.
Stop paying $3,000 for what 2pr does in 1 minute.
free trial, no limits on requests — start growing on LinkedIn today.
Built from public LinkedIn posts, last refreshed 2026-09-26. Follower counts and engagement change over time. Venkata Naga Sai Kumar Bysani is not affiliated with 2pr.io. Request removal.