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Naresh Maddela

Founder @ Asuraa | Connecting Startups with AI Talent | Data science, AI & ML l Top Data Science Voice | AI x storytelling x education | DM for collab

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Naresh Maddela is a LinkedIn creator based in Bengaluru, Karnataka, India with 18,519 followers, focused on Career Development, Upskilling, and Tech Trends content. Posts average 34 likes and 0.3% engagement. Has worked with brands including Topmate.io, Topmate, Topmate, topmate.io, and Asuraa on marketing campaigns.

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5% of my posts go viral. Yours could be next

Ready to collaborate?Let's give your brand a boost with some creative ways & authentic marketing!

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+91 9999999999

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My Top Links

Links to my top social media profiles & websites

View my services

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Profile Highlights

A quick glance at some key stats

18,519Total Followers
35Avg Likes
17Avg Comments
0.3%Avg Eng.
16Past Collabs

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My Expertise (1 service)

Last Updated At: 04-04-2026

A quick overview of services I offer to brands

I’ve helped multiple brands execute successful influencer campaigns by identifying the right narrative, aligning it with audience expectations, and delivering content that performs. From outreach to execution, I bring structure to collaborations, ensuring the campaign feels organic to the audience while delivering on brand objectives.

A data-focused creator with a growing community of 17K+ professionals. I deliver targeted reach in AI, data science, and job opportunities, helping brands connect with the right audience through meaningful engagement.

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Engagement Over Time

Visualization of how my engagement on posts has evolved

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My Activity & Engagement Calendar

Visualizing posting frequency and audience engagement over the last 6 months

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Most Engaged Posts

My Top 3 posts with the highest engagement

Naresh MaddelaFounder @ Asuraa | Connecting Startups with AI Talent | Data science, AI & ML l Top Data Science Voice | AI x storytelling x education | DM for collab

🎓 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 ₹𝟭𝟬𝗟+ 𝗶𝗻 𝗮 𝗗𝗲𝗴𝗿𝗲𝗲. 𝗔𝗰𝗰𝗲𝗽𝘁𝗶𝗻𝗴 𝗮 ₹𝟭𝟱𝗸 𝗝𝗼𝗯. A harsh reality for many fresh graduates. I recently came across this meme — it's humorous at first glance, but behind the smile is a serious message that many fresh graduates can relate to. 🧾 𝗦𝗽𝗲𝗻𝗱𝗶𝗻𝗴 ₹𝟭𝟬𝗟+ 𝗼𝗻 𝗮 𝗱𝗲𝗴𝗿𝗲𝗲 only to accept a ₹𝟭𝟱𝗸/𝗺𝗼𝗻𝘁𝗵 𝗷𝗼𝗯 isn't just disheartening — it raises deeper questions about the ROI of education, industry alignment, and employability. As someone who's been in the data space for years, here are a few thoughts I want to share — especially for students, early-career professionals, and aspiring data scientists: 🔍 𝟭. 𝗔 𝗱𝗲𝗴𝗿𝗲𝗲 ≠ 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗷𝗼𝗯 • Education is an enabler, not a placement guarantee. What matters more is how you apply what you’ve learned. 📊 𝟮. 𝗦𝗸𝗶𝗹𝗹𝘀 > 𝗦𝘆𝗹𝗹𝗮𝗯𝘂𝘀 • Tools evolve, but foundational skills like problem-solving, storytelling with data, and communication stay relevant. Focus on learning how to think, not just what to code. 🎯 𝟯. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗲𝗮𝗿𝗹𝘆 • Whether it's through internships, freelancing, or passion projects — your work should speak louder than your CV. A strong GitHub or Tableau Public profile can open more doors than a degree alone. 📚 𝟰. 𝗗𝗼𝗻’𝘁 𝘀𝘁𝗼𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗳𝘁𝗲𝗿 𝗴𝗿𝗮𝗱𝘂𝗮𝘁𝗶𝗼𝗻 • Self-learning, upskilling, and staying current with tools like Python, SQL, Power BI, and generative AI are no longer optional — they’re survival skills in today’s job market. 💡 𝟱. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 > 𝗺𝗮𝗿𝗸𝘀𝗵𝗲𝗲𝘁𝘀 • Relationships often lead to opportunities. Attend events, engage in online communities, and don’t hesitate to ask for feedback or mentorship. 🎓 Education is important — but it's just the beginning. Don’t let a low-paying first job define your worth. Your journey in tech and data is a long-term investment. What matters is 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗮𝗱𝗮𝗽𝘁, 𝗴𝗿𝗼𝘄, 𝗮𝗻𝗱 𝗲𝘃𝗼𝗹𝘃𝗲 in the face of a changing world. 📌 If you're just starting out and feeling stuck, remember: the first offer isn’t the final destination. 🔁 𝗕𝗼𝗻𝘂𝘀 𝗧𝗶𝗽:-Whether you're a fresher or already working professional — upgrading your skills is non-negotiable in tech. Focus on Python, Data Science, AI, Machine Learning, DSA, and more. I’d personally recommend exploring resources from 𝐀𝐒𝐔𝐑𝐀𝐀 — practical, beginner-friendly, and industry-relevant. 🚀 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗵𝗲𝗿𝗲:- https://lnkd.in/g3b7zBAx 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐢𝐬 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 :- www.asuraa.in If you found this helpful, drop a like or share it with someone who’s building their career! 💬 Let’s keep learning, growing, and building smarter solutions.

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Naresh MaddelaFounder @ Asuraa | Connecting Startups with AI Talent | Data science, AI & ML l Top Data Science Voice | AI x storytelling x education | DM for collab

🚀 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗝𝗼𝗯𝘀 𝗘𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝘃𝘀. 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 If you’ve worked in the data field, this meme probably hits home. 👉 𝗝𝗼𝗯 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻𝘀: They often list every trending tool and technology—SQL, Python, Spark, Airflow, Azure, and more. Companies want “full-stack” data professionals who can do everything from data engineering to machine learning. 👉 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀: The focus narrows—SQL proficiency, Python problem-solving, and cloud fundamentals dominate. The bar is high, but the scope is relatively structured. 👉 𝗔𝗰𝘁𝘂𝗮𝗹 𝗝𝗼𝗯: Once you’re in, reality sets in. A huge part of day-to-day work often revolves around SQL queries, dashboards, and yes… Excel. Instead of building cutting-edge ML models daily, you may spend more time ensuring data quality, cleaning pipelines, and generating business-ready insights. 💡 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗶𝘀𝗺𝗮𝘁𝗰𝗵? • Businesses still rely heavily on Excel for decision-making. • Clean and reliable data often creates more value than fancy models. • Data roles evolve based on business maturity—sometimes you’re building pipelines, other times you’re just ensuring reports are delivered on time. ✅ 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀: • Don’t underestimate “basic” skills like SQL and Excel—they’re often the real backbone of impact. • Master the fundamentals before chasing every new tool. • Stay adaptable—your role may lean more toward engineering, analysis, or science depending on business needs. At the end of the day, 𝗼𝘂𝗿 𝗷𝗼𝗯 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼 𝘂𝘀𝗲 𝗰𝗼𝗼𝗹 𝘁𝗼𝗼𝗹𝘀—𝗶𝘁’𝘀 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗮𝗻𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝘃𝗮𝗹𝘂𝗲. 🔁 𝗕𝗼𝗻𝘂𝘀 𝗧𝗶𝗽:-Whether you're a fresher or already working professional — upgrading your skills is non-negotiable in tech. Focus on Python, Data Science, AI, Machine Learning, DSA, and more. I’d personally recommend exploring resources from 𝐀𝐒𝐔𝐑𝐀𝐀 — practical, beginner-friendly, and industry-relevant. 🚀 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗵𝗲𝗿𝗲:- https://lnkd.in/g3b7zBAx 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐢𝐬 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 :- www.asuraa.in If you found this helpful, drop a like or share it with someone who’s building their career! 💬 Let’s keep learning, growing, and building smarter solutions.

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Naresh MaddelaFounder @ Asuraa | Connecting Startups with AI Talent | Data science, AI & ML l Top Data Science Voice | AI x storytelling x education | DM for collab

Hi Krish Naik, Recently, me and a few close friends started working on a real-world problem — we noticed that many freshers and early professionals are struggling to break into Data Science, Machine Learning, and AI roles, especially internships and entry-level positions that demand 2+ years of experience. We decided to build a solution — and that’s how Asuraa was born, an AI-driven platform focused on solving job-hunting and career guidance challenges. Only AI related intern and entry roles Only.. Yes, we know it’s risky. But we believe in the problem, and we’re fully committed to solving it with the power of AI and community. If you have any advice or would like to share from your experience, it would mean a lot to us. Always open to learning and improving. Thanks for being an inspiration ...

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Collaboration History

Last Updated At: 15-05-2026

Brands I've partnered with in the past

Data

Apr 8, 2026

❓ What separates a data scientist who gets hired… from one who keeps applying? It's not talent. It's not even skills. It's having a structured path ...

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Naresh Maddela

Founder @ Asuraa | Connecting Startups with AI Talent | Data science, AI & ML l Top Data Science Voice | AI x storytelling x education | DM for collab

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