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AI Engineer | Tech Creator (350K+) | LinkedIn Learning Instructor | 3+ years in AI, Predictive Analytics & Experimentation | Featured on Times Square, Fox, NBC
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As a Lead Data Analyst at Blue Cross Blue Shield of South Carolina, I build end-to-end data solutions that influence executive decision-making, from churn prediction models and A/B testing frameworks to dashboards tracking complex, high-stakes portfolios. My work spans the full ML lifecycle: data pipelines, feature engineering, model deployment, and stakeholder communication. What Sets Me Apart: I don't just analyze data, I translate it into business strategy. Whether it's identifying high-risk customer segments, optimizing conversion funnels through rigorous experimentation, or presenting insights to C-suite leadership, I bridge the gap between technical depth and business impact. Beyond the 9-to-5: I'm on a mission to democratize data science education. With 240K+ professionals in my LinkedIn community and 24K+ newsletter subscribers, I share battle-tested insights on SQL, Python, machine learning, and breaking into data science, focused on real-world applications that actually matter in industry. I've also been recognized nationally: - Featured in Times Square, Fox, NBC, and major media outlets - 3rd Place, Travelers NESS Statathon - 1st Place, Well4Tech Health Hackathon - Favikon recognition for data community contributions My Technical Stack: Python (Pandas, Scikit-Learn, XGBoost), SQL, PySpark, R | AWS (S3, Glue, Athena, SageMaker), Azure, Snowflake, Databricks | Tableau, Power BI, Looker | A/B Testing, Bayesian Statistics, Predictive Modeling Open to discussing data strategy, collaboration, or your journey into data science. Let's connect: [email removed]
My most engaged audience
31% Manager / Lead · 66% Engineering / Data
From 143 people who reacted to or commented on my posts
Public LinkedIn data · Oct 15, 2026
Most people use Claude Code without knowing these 10 commands exist. And some of them can save you a lot of time, tokens, and unnecessary debugging. Here are 10 worth knowing: 1. `/skill-doctor` → Which skills are actually useful? See skill usage, token costs, and which skills you rarely use. 2. `/skills` → Which skills should you keep? Manage your installed skills and disable the ones you don't need. 3. `/doctor` → Is your setup healthy? Diagnose installation, configuration, and environment issues. 4. `/context` → What's eating your context window? See what's taking up space in your current session. 5. `/usage` → Where are your limits going? Track usage, costs, and plan limits. 6. `/permissions` → What can Claude do without asking? Control which commands and file changes need your approval. 7. `/mcp` → Are your integrations working? Manage MCP servers and check connection or authentication issues. 8. `/memory` → What does Claude remember? Manage CLAUDE.md instructions and auto-memory. 9. `/rewind` → Made a mistake? Go back. Restore an earlier checkpoint instead of manually undoing everything. 10. `/diff` → What exactly changed? Review file modifications before moving forward. One thing I've learned while working with AI coding tools: Getting better results isn't always about writing better prompts. Sometimes it's about understanding the tools you're already using. Which Claude Code command do you use the most?
I've been to San Francisco 10 times this year. And it's completely changed how I think about my next career move. I still remember when getting a single interview call felt like the biggest achievement. Every interview felt like an uphill battle just to prove I belonged. When I was searching for my first job, I sent over 1,300 applications before finally breaking into tech. Now, I find myself thinking less about getting opportunities and more about choosing the right ones. This week in SF, I've been meeting founders, engineers, and researchers building some incredible things in AI. And honestly, these conversations have made me think a lot more about the kind of problems I want to solve and how much more I want to grow in AI. But here's something I've realized. You can be happy with your current job and still be curious about your next chapter. The hard part? Finding the time to explore opportunities while already working full-time. That's why I'd recommend Teal to anyone quietly exploring their next career move. When you work full-time, exploring shouldn't feel like an unpaid second job. Teal handles the heavy lifting: ↳ Save interesting roles and keep them organized in one place ↳ Match your resume to the job description automatically in minutes Because at this stage, it's not about applying to more jobs. It's about finding opportunities that are actually worth your time. Teal has a free plan and is free to get started: https://tealhq.co/4AJFQQD Are you happy in your current role, but quietly keeping an eye on what is next? ♻️ Repost this if you know someone thinking about their next career move. #TealPartner
I still remember what it felt like trying to break into tech. I sent over 1,300 applications before landing my first opportunity. And a huge part of the frustration wasn’t even applying. It was figuring out where I should be applying in the first place. You’d find a company, open their careers page, realize there was nothing relevant, close the tab, and do the same thing again. Over and over. I kept thinking there had to be a better way to answer one simple question: Who is actually hiring for the kind of role I want? So I built Hiring Radar. I described what I wanted to Replit: a website that brings job openings from different companies into one place and lets you filter them by: → City → Role → Industry → Company size Then you can open a company, see the matching roles, check the listed location, and go directly to the original careers page to apply. You can also see when each source was last checked, because job listings change all the time. Right now, I’m starting with San Francisco, New York, and Seattle. It’s still an early version, so it doesn’t cover every company in those cities yet. But this is the part I love: An idea I had because of my own job search is now something people can actually use. And I already have a bunch of ideas for the next version: more cities, more companies, salary filters, experience levels, remote/hybrid filters, and job alerts. 𝗧𝗿𝘆 𝗛𝗶𝗿𝗶𝗻𝗴 𝗥𝗮𝗱𝗮𝗿 𝗵𝗲𝗿𝗲: https://lnkd.in/djncX9PW Start building your own tools here - you’ll get $10 in credits when you upgrade to Replit Core: https://lnkd.in/dywbyxB9 #ad #ReplitPartner Paid partnership with Replit.
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How does this price compare? B2B creator rates 2026
Based on 143 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 143 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 143 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 143 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Venkata Naga Sai Kumar Bysani is a B2B LinkedIn creator based in the United States with 274,658 followers, posting about AI and Developer Tools. Venkata Naga Sai Kumar Bysani ranks #21 in Naano's Top 50 AI creators on LinkedIn (October 2026). On Naano, one sponsored LinkedIn post by Venkata Naga Sai Kumar Bysani costs €5,000, a fixed price per post.
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