Hi, I'm Pranav M S Krishnan

   

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🙋 About Me

I enjoy working with data — cleaning it, analyzing it, and transforming it into meaningful stories through visualizations and dashboards. I also have experience building web-based projects and exploring cloud tools for scalable data workflows.

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⚡ Daily Byte

💡 Tip: Use HAVING to filter aggregated data, and WHERE for row-level filtering—mixing them up ruins query speed.

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📊 GitHub Stats

 

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🗂 Projects

🎨 Issue Ink

• Built a Canvas using GitHub README and Actions
• A collaborative art experiment

📊 Exam Period Habit Analysis

• Analyzed study and habit patterns using Python (Pandas, NumPy)
• Derived insights on productivity trends during exam periods
• Used data cleaning, transformation, and visualization techniques

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💻 Tech Stack

const pranav = {
  languages: ["Python", "SQL", "R", "JavaScript", "Java", "HTML", "CSS"],
  dataVisualization: ["Pandas", "NumPy", "Matplotlib", "Tableau", "Power BI"],
  databases: ["MySQL", "PostgreSQL", "MongoDB"],
  cloud: ["Google Cloud", "Firebase"],
  currentlyWorkingOn: ["Data Analysis Projects", "Building Dashboards", "Improving SQL Query Performance"]
};

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🎯 Current Focus

• Data Visualization using Power BI and Tableau
• Data Analysis with Python (Pandas, NumPy)
• Writing efficient SQL for real-world datasets

🚀 Next Goals

• Build Machine Learning models using scikit-learn
• Create advanced visualizations with ggplot2
• Work with cloud-based data pipelines (BigQuery, GCP)
• Apply R and SQL to larger, real-world datasets

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📫 Let's Connect

   

Open to collaboration on data and web projects — reach out for discussions, ideas, or opportunities!

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🌟 Extras

🌐 Explore GitHub Community (Octo Ring)

🏅 View My Holopin Badges