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.
💡 Tip: When building web dashboards, use lazy loading for heavy data visual elements to speed up the initial page load.
- 💼 Job Intelligence Dashboard - End-to-end ETL pipeline and Streamlit dashboard tracking software engineering job market trends via the Adzuna API.
- 🎨 Issue Ink - A collaborative, interactive pixel-art grid experiment driven entirely by GitHub Actions and automated markdown workflows.
- 📈 Superstore Profit Optimization - Data case study and Tableau dashboard isolating a high-leverage $65K promotional value drain to eliminate corporate profit leakage.
- 🌍 India AQI Dashboard - Interactive visualization mapping 5 years of historical air pollution data across major Indian cities to uncover seasonal and lockdown trends.
- 📊 Exam Period Habit Analysis - Exploratory data analysis tracking the direct impact of academic evaluation windows on sleep, screen time, and study behavior.
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!
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