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.
- Built a Canvas using GitHub README and Actions
- A collaborative Art experiment
- 👉 View Project
- Analyzed study and habit patterns using Python (Pandas, NumPy)
- Derived insights on productivity trends during exam periods
- Used data cleaning, transformation, and visualization techniques
- 👉 View Project
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"]
};- Data Visualization using Power BI and Tableau
- Data Analysis with Python (Pandas, NumPy)
- Writing efficient SQL for real-world datasets
- 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
- Open to collaboration on data and web projects
- Reach out for discussions, ideas, or opportunities
I treat SQL queries like puzzles — the more complex, the more satisfying to solve.
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