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Hey There! 🌟 I'm Anish Mahapatra

Hailing from the tech hub of Bangalore, India, I'm a Senior AI & Data Scientist at 7-Eleven. By day, I translate numbers into narratives; by night, I explore the realms of tech and code. With over 6.5 years of experience, my mission is simple: make data science & AI clear and accessible, while sharing the knowledge I've gathered along the way.

🔗 Let's connect!
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🚀 My Manifesto

  • 🌐 I'm a tech enthusiast who loves to code and share knowledge.
  • 🎥 A content creator, celebrated by over 25 million views as a Google Maps Local Guide.
  • 📚 Dedicated to developing high-quality, educational content.
  • 🎯 Aiming to elevate the art of content creation.
  • 🌟 Dreaming of a future where content empowers financial independence.

📈 My Digital Footprint

Anish's GitHub Stats

🏆 My Wall of Honor

Trophies

🔥 My Current Streak

GitHub Streak


🛠 Toolkit

  • Leveraging Data Science & AI to solve complex problems.
  • Crafting stories and educational content with a purpose.
  • Creating engaging visual content that educates and inspires.

💡 Extracurricular Explorations

As a beacon for Data Science and AI, I use my words and videos to shed light on these fascinating fields. Always ready to dive into new projects and connect with like-minded individuals.

📝 Open Invitations

  • Contributing to open-source projects in data science.
  • Partnering on educational content creation.
  • Building connections with tech enthusiasts and content creators.

Feel free to reach out for collaborations or just a chat about technology and storytelling!


Join me on this journey, where each click and character typed is a step towards the future. Together, let's create a legacy of learning and innovation! 🚀

Anish Mahapatra's Projects

masters-machine-learning-1 icon masters-machine-learning-1

Codes encompassing topics on the realm of linear regression (simple and multiple), logistic regression and clustering using pca

recommendationlearning1 icon recommendationlearning1

This are the codes, tools and concepts I utilized to begin building a recommendation engine from scratch Both Python and R codes are present along with a thorough documentation of my work.

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